Dataset Viewer
Instruction
stringclasses 3
values | Description
stringclasses 12
values | Posting
stringclasses 12
values |
|---|---|---|
You are a digital solutions product marketing executive promoting data engineering pipeline automation solutions for Digitalization success. You are proficient at writing concise, postings. The postings should be easy to read, target business audience explaining technical concepts in a simple and vibrant language. | Please create a digital marketing article for this Data Engineering product titled CashFlow prediction for the business group Finance. \
Current As Is Business situation without this solution: Current cashflow prediction model for US Legal Entity is an excel based solution. We would want to optimize the solution by migrating it to IT platform. Currently, it requires a lot manual calculations and adjustments in excel based solution.
Data is being pulled manually. Huge time consumption and repetition in adapting to other legal entities. . Target situateion with this solution Fully automated solution running monthly cashflow predictions and reporting on dashboard. Following are the target solution breakdown:
1. Create denodo view for related B/W Report
2. Create workflow to import SAP data to cloud
3. Data Preparation and transformation in MSSQL
4. Cashflow logic implemented in python module for legal entities 0051,192
5. Deploy python solution through AKS
6. Power BI Integration to visualize prediction results. Solution once deployed has the potential quantitative and qualitative benefits. Quantitative benefits:
Estimated to save 0.5hours each time x 2 times/month x 12 months x 2 LE = 24 hours of manual labor per year. Qualitative Gain: Migration of cashflow prototype to IT Platform creates a foundation for flexible adaption when we plan to expand to other legal entities in future. Even though the benefit from current phase is very limited, business foresees that the future saving for new LE in the regional will be much higher, because current Excel based solution is not suitable for additional requirement (e.g. tax adjustment). We will declare additional benefit in the future phases. | Title: Revolutionizing Cash Flow Predictions with Data Engineering Automation
Introduction:
In today's fast-paced business world, it's critical for finance teams to have accurate and timely cash flow predictions. The current excel-based model used by the US Legal Entity is not only time-consuming but also prone to errors due to manual calculations and adjustments. To overcome these challenges, we present an automated data engineering solution that streamlines cash flow predictions while saving valuable finance team resources.
Target Situation - An Automated Cash Flow Prediction Solution:
Our innovative data engineering product aims to transform your existing business processes by providing a fully automated monthly cash flow prediction system integrated with vibrant visualizations on a dashboard. Here are the key components of this cutting-edge solution:
1. Denodo View Creation: We will develop a denodo view for related B/W reports, allowing seamless access to relevant information.
2. SAP Data Import Workflow: Our solution includes creating workflows that automatically import crucial SAP data into the cloud.
3. MSSQL Data Preparation & Transformation: We'll take care of all necessary data preparation and transformation tasks using Microsoft SQL Server.
4. Python-based Cashflow Logic Implementation: Our expert developers will implement advanced cash-flow logic in Python modules tailored for legal entities 0051 and 192.
5. AKS Deployment of Python Solution: We guarantee smooth deployment through Azure Kubernetes Service (AKS) ensuring high availability and scalability.
6. Power BI Integration & Visualization: Lastly, our solution integrates with Power BI to create stunning visualizations of prediction results enabling better decision-making.
Quantitative Benefits - Save Time & Resources:
By adopting our state-of-the-art automation solution, you can expect significant cost savings as well as reduced manual labor hours:
- Estimated time saved per year is about 24 hours (0.5 hours each time x 2 times/month x 12 months x 2 LE).
Qualitative Gain - Streamlined Expansion & Future Adaptability:
Migrating the cash flow prediction model to an IT platform not only saves time but also creates a foundation for seamless adaptation as you expand your operations. Our solution is designed with flexibility in mind, allowing easy integration of future requirements such as tax adjustments:
- Hassle-free expansion to other legal entities.
- Anticipated higher savings and efficiency gains for new regional LEs.
Conclusion:
Embrace the power of data engineering automation and visualization dashboards to revolutionize your business's cash flow predictions. Our comprehensive solution ensures accuracy, saves time, and lays a solid groundwork for future adaptability and growth - a winning combination for digitalization success! |
You are a digital solutions product marketing executive promoting data engineering pipeline automation solutions for Digitalization success. You are proficient at writing concise, postings. The postings should be easy to read, target business audience explaining technical concepts in a simple and vibrant language. | Please create a digital marketing article for this Data Engineering product titled CAM-Spare Parts Analyzer for the business group Enterprise solution . \
Current As Is Business situation without this solution: Current monitoring of the regional spare parts is done centrally by Corporate Maintenance once a month. It takes significant time to download related data from business warehouse and SAP R/3. Even data transformation has been simplified via Power Query Editor, there are still manual efforts involved in the report preparation and distribution. it covers following data sources and reports. Target situateion with this solution Develop a automated pipeline through the cloud platform for data extraction and transformation. The business requestor will use Power BI for the final reporting and visualization (out of RFC scope but will be implemented in the following weeks right after data source is ready). The global data domain manager wants to extend the regional solution to be global usage if it is implemented successfully.. Solution once deployed has the potential quantitative and qualitative benefits. Quantitative benefits: 8 hours is needed per month. For DOH and Slow Movers, it will be kept as-is for monthly. While the inventory and double storage is still meanful to be refreshed weekly. 4 hours*52+4 hours * 12 = 256 hours. The global saving potential is tbd.. Qualitative Gain: Current manual reporting take a lot of time with some risk of data handling error. | Title: Revolutionize Your Spare Parts Management with CAM-Spare Parts Analyzer
Subtitle: Streamline Data Engineering and Unleash the Power of Automation for Enhanced Decision Making in Enterprise Solutions
Introduction:
In today's fast-paced business world, efficient management of spare parts inventory is crucial to ensure smooth operations and maintain competitiveness. Traditional methods that involve manual data handling and monthly monitoring can be time-consuming, error-prone, and unproductive. That's why we're proud to introduce CAM-Spare Parts Analyzer - a cutting-edge data engineering solution designed to transform your enterprise's approach towards spare parts inventory management.
Current Business Challenges:
As it stands now, regional spare parts monitoring is conducted centrally by Corporate Maintenance on a monthly basis. This process requires downloading significant amounts of data from various sources like the SAP R/3 system or business warehouse platforms. Although some aspects have been simplified through Power Query Editor, manual efforts are still needed for report preparation and distribution.
Target Situation with CAM-Spare Parts Analyzer:
Our innovative solution aims to develop an automated pipeline using cloud platform technology for seamless data extraction and transformation. Users will leverage Microsoft Power BI for advanced reporting and visualization (to be implemented after ensuring a ready data source). If successfully executed at the regional level, global implementation may follow as per the global data domain manager’s vision.
Quantitative Benefits:
The deployment of CAM-Spare Parts Analyzer is poised to save enterprises 256 hours annually by reducing manual processes associated with report generation (4 hours*52+4 hours * 12). The exact amount saved globally remains to be determined but promises substantial savings across all regions.
Qualitative Gains:
Currently, manual reporting takes up valuable time while also exposing businesses to potential errors due to improper handling during report preparation or distribution processes. With our solution in place, companies can expect these risks mitigated significantly while freeing up resources allowing them more strategic decision-making capabilities based on accurate real-time insights into their spare parts inventory.
Conclusion:
Investing in CAM-Spare Parts Analyzer for your enterprise ensures a seamless transition from manual to automated data engineering, unlocking the power of cloud-based technology and modern visualization tools. Empower your organization with fast, accurate insights into spare parts management and drive digitalization success by embracing this innovative solution today! |
You are a digital solutions product marketing executive promoting data engineering pipeline automation solutions for Digitalization success. You are proficient at writing concise, postings. The postings should be easy to read, target business audience explaining technical concepts in a simple and vibrant language. | Please create a digital marketing article for this Data Engineering product titled CAM-Colinx Report Automation for the business group Production Shop Floor. \
Current As Is Business situation without this solution: Operators will time themselves as they begin machine set up. They will mark down their times on a notebook. The notebook times are entered manually into an excel database. The data is visualized by technology center on an excel sheet in the form of green, red, and yellow lights.. Target situateion with this solution Fully automated pipeline pulling data into a SQL database and visualization platform. Connected with Dozuki API to pull data and quality assurance checkpoint. . Solution once deployed has the potential quantitative and qualitative benefits. Quantitative benefits: Time savings from manually entering / writing the info every day
a) Entering into the database ~15 minutes per day b) Set up data recording (2 set ups per day per person ~2-3 minutes) c) Joplin plant currently has 2 setup operators and plan to have 6 setup operators to cover 3 shifts per day d) Estimate saving in hours (operators work 6 days a week, about 312 days a year):
saving with 2 setup operators: (15 + 2*2.5)*312*2 = 12480 mins = 208 hours; saving with 6 setup operators: (15 + 2*2.5)*312*6 = 37440 mins = 624 hours. Qualitative Gain: Cost savings from process optimization | Title: Revolutionize Your Production Shop Floor with CAM-Colinx Report Automation
Introduction:
Are you tired of manually tracking and recording machine set-up times? Do your operators spend valuable time jotting down information in notebooks, only for it to be entered into Excel later on? Look no further – our game-changing solution, CAM-Colinx Report Automation, is here to transform your shop floor's efficiency!
Say Goodbye to Manual Data Entry:
The current business situation has operators spending precious minutes each day recording their set-up times. This manual process not only consumes unnecessary time but also leaves room for human error. Our innovative solution eliminates the need for this tedious task by automating data entry and streamlining your production process.
Welcome a Fully Automated System:
CAM-Colinx Report Automation ushers in a new era of seamless data engineering. By integrating with Dozuki API, our cutting-edge software creates an automated pipeline that pulls crucial information directly into a SQL database and visualization platform. With real-time quality assurance checkpoints in place, you can trust the accuracy of your data like never before.
Unlock Quantitative Benefits:
Our revolutionary product offers significant time savings by eliminating manual tasks:
a) Save 15 minutes per day from entering information into databases.
b) Cut down 2-3 minutes per set up (twice daily).
c) Experience exponential saving as you increase setup operators (e.g., from 2 to 6).
In total, this amounts to a staggering figure of up to 624 hours saved annually! Imagine what else could be achieved during those lost hours.
Embrace Qualitative Gains:
Apart from substantial time savings, enjoy cost benefits arising from optimized processes facilitated by CAM-Colinx Report Automation. The enhanced efficiency translates into better resource management and smarter decision-making across all levels of your organization.
Conclusion:
Upgrade your Production Shop Floor operations with CAM-Colinx Report Automation - where automation meets success. Make the switch today and unlock the potential of data engineering to drive your business forward. Don't let manual processes hold you back – embrace digitalization and revolutionize your shop floor! |
You are a digital solutions product marketing executive promoting data engineering pipeline automation solutions for Digitalization success. You are proficient at writing concise, postings. The postings should be easy to read, target business audience explaining technical concepts in a simple and vibrant language. | Please create a digital marketing article for this Data Engineering product titled In Transit Monitor Analyzer SAP Reporting for the business group Production Shop Floor. \
Current As Is Business situation without this solution: Sea Freight Shipments are often delayed, and it is a highly manual process to compare their evolving status. Team members often spend multiple hours weekly to track, using several systems as SAP material level information is not included in logistics tracking data. Target situateion with this solution an interactive report in Power BI that allows self-investigation of sea freight shipments in-transit, as well as highlights of when/where shipment timing has changed by connecting in-transit monitor data to SAP data.. Solution once deployed has the potential quantitative and qualitative benefits. Quantitative benefits: Annual saving estimated at 76K USD. Qualitative Gain: Save Plant MRP Controller and Logistics working hours by simplifying tracking of shipments. Reduce impact of delayed shipments on Manufacturing by improving reaction time (e.g. advance warning to adjust production plans) | Title: Revolutionize Your Production Shop Floor with In-Transit Monitor Analyzer SAP Reporting
Are you tired of dealing with delayed sea freight shipments and spending countless hours tracking them manually? It's time to embrace the future of data engineering automation and visualization dashboard solutions for your Production Shop Floor. Introducing our game-changing product - "In Transit Monitor Analyzer SAP Reporting."
**Current Business Situation**
The manual process of comparing evolving shipment statuses in multiple systems is not only time-consuming but also cumbersome. Without an integrated solution, team members often end up dedicating several hours per week to track these shipments, causing inefficiencies and missed opportunities.
**Target Situation**
Imagine a world where you have an interactive Power BI report that allows self-investigation of sea freight shipments in transit while highlighting any changes in the timing or location. Connecting In-Transit Monitor data to your SAP system can provide real-time insights on shipment progress, enabling quick decisions for production planning adjustments.
**Quantitative Benefits**
Our solution comes with some impressive quantitative benefits:
1. Estimated annual savings of 76K USD.
2. Significant reduction in Plant MRP Controller and Logistics working hours by simplifying shipment tracking processes.
3. Minimized impact on manufacturing due to improved reaction times resulting from advance warning of potential delays.
**Qualitative Gains**
When you deploy our In-Transit Monitor Analyzer SAP Reporting solution, you'll experience these qualitative gains:
1. Increased efficiency as team members save valuable time previously spent on manual tracking tasks.
2. Enhanced accuracy in forecasting delivery times through real-time updates from connected systems.
3. Improved communication between departments leading to better decision-making regarding production plans.
Don't let inefficient processes hold back your business any longer! Invest in our cutting-edge Data Engineering Automation & Visualization Dashboard Solutions today and unlock digitalization success for your Production Shop Floor!
Experience seamless integration into your existing logistics infrastructure with In Transit Monitor Analyzer SAP Reporting – contact us now to learn how you can transform your production shop floor operations! |
You are a digital solutions product marketing executive promoting data engineering automation and visualization dashboard solutions for Digitalization success. You are proficient at writing concise, postings. The postings should be easy to read, target business audience explaining technical concepts in a simple and vibrant language. | Please create a digital marketing article for this Data Engineering and Visualization product titled KPI Dashboard for the business group Enterprise solution . \
Current As Is Business situation without this solution: Today, we have to maintain 17 Excel files for Overall KPIs. Target situateion with this solution One stop PowerBI KPI dashboard. With this option, we will have the KPIs in one system and the Excel files can be retired.. Solution once deployed has the potential quantitative and qualitative benefits. Quantitative benefits: We will provide a daily refresh of 7 out of 17 KPIs that can be automated. Today, for these 7 KPIs, it takes about 1.7 hours to update per instance. We estimate a total yearly P&I savings of 88 hours.Calculation as follows:1.7*52 (#weeks in a year)= 88. Qualitative Gain: nan | Title: Revolutionize Your Enterprise Solution with KPI Dashboard
Are you tired of juggling between multiple Excel files to manage your business's overall Key Performance Indicators (KPIs)? Say goodbye to these hassles and embrace the power of automation and visualization with our state-of-the-art KPI Dashboard for enterprise solutions.
**Current As-Is Business Situation**
In today's fast-paced world, businesses require quick access to vital information. However, many organizations continue to rely on cumbersome processes involving numerous Excel files for managing their KPIs. This not only wastes valuable time but also prevents them from making informed decisions quickly.
**Target Situation with Our PowerBI KPI Dashboard**
Our innovative solution eliminates the need for manual updates by consolidating all your KPI data into a single, easy-to-use dashboard. By implementing our PowerBI-driven system, you can retire those 17 Excel files and gain instant access to crucial insights at any time.
**Quantitative Benefits**
With daily refreshes available for 7 out of the 17 automatable KPIs in our dashboard, you'll save an incredible amount of time! Today it takes about 1.7 hours per instance just updating these metrics manually – by switching over to our automated platform; we estimate a yearly savings of Process & Innovation (P&I) costs up to **88 hours**!
Calculation:
1.7 * 52 (# weeks in a year) = 88
That’s more than two full work weeks saved!
**Qualitative Gains**
Beyond the quantitative benefits lie immeasurable qualitative gains that cannot be ignored:
1. Improved decision-making due to real-time data access
2. Enhanced collaboration among teams thanks to centralized data storage
3. Increased productivity as employees can focus on higher-value tasks instead of manual updates
4. Streamlined reporting process ensuring accurate representation across departments
Investing in our cutting-edge Data Engineering Automation and Visualization Dashboard Solutions for Digitalization success will revolutionize your business operations. Don't let outdated methods hold you back – upgrade to our KPI Dashboard and unlock your enterprise's full potential today! |
You are a digital solutions product marketing executive promoting data engineering automation and visualization dashboard solutions for Digitalization success. You are proficient at writing concise, postings. The postings should be easy to read, target business audience explaining technical concepts in a simple and vibrant language. | Please create a digital marketing article for this Data Engineering and Visualization product titled CMS Upcoming notification for the business group Quality Engineering. \
Current As Is Business situation without this solution: Today, Corrective Actions are entered into the CMS which require verification during an upcoming/next Production Run. There is no link from CMS to Production Plan to inform Quality when/where to watch for upcoming Production.. Target situateion with this solution A system to send automated email alerts to Business contacts notifying them of upcoming Production for given Material Numbers flagged for watch inside CMS System.. Solution once deployed has the potential quantitative and qualitative benefits. Quantitative benefits: 668 hours/yr including Fort Mill and Cheraw, based on Business estimate for Fort Mill and scaled to include Cheraw based on discussion.. Qualitative Gain: Early warning system prevents missed reportings and errors | Title: Revolutionize Your Quality Engineering with CMS Upcoming Notification
Are you struggling to keep track of corrective actions and their verification during production runs? Does your current system fall short in linking the CMS to your Production Plan, leaving the Quality team scrambling for information? Say goodbye to these challenges with our state-of-the-art Data Engineering and Visualization product: CMS Upcoming Notification.
The Current Business Situation - Time Wasted & Opportunities Missed
As it stands now, Corrective Actions are entered into the CMS, requiring verification during upcoming production runs. However, without a link between the CMS and Production Plan, Quality teams face difficulty in identifying when and where they should monitor upcoming production. This often leads to missed reportings and errors that could have been avoided if a proper notification system was in place.
Introducing Our Solution - Seamless Automation for Improved Efficiency
To bridge this gap we present our cutting-edge solution designed specifically for business groups like Quality Engineering. The CMS Upcoming Notification tool will send automated email alerts directly to key business contacts regarding flagged Material Numbers within the existing CMS System. By automating this process, businesses can ensure timely notifications about upcoming productions.
Quantitative Benefits – Significant Time Savings
Our solution is poised to save 668 hours per year across Fort Mill and Cheraw locations based on current estimates provided by Fort Mill's business group. This time-saving alone demonstrates how valuable integrating an automated alert system can be for organizations looking to streamline their processes.
Qualitative Gains – A Better Early Warning System
In addition to quantitative benefits, deploying our Data Engineering & Visualization product ensures early warnings that prevent further missed reportings and errors. With improved communication channels through automated email alerts sent directly from the integrated software platform users no longer need worry about information falling through cracks ultimately leading better overall operations management success stories!
Don't miss out on capitalizing on these substantial gains! Transform your quality engineering process today with our innovative data-driven automation solutions. Get in touch with our team of experts for more information and a tailored demonstration of the CMS Upcoming Notification tool. Experience Digitalization success like never before! |
You are a digital solutions product marketing executive promoting data science and AI solutions for Digitalization success. You are proficient at writing concise, postings. The postings should be easy to read, target business audience explaining technical concepts in a simple and vibrant language. | Please create a digital marketing article for this Data Science product titled Production Credit Report Forecasting for the business group Production Planning . \
Current As Is Business situation without this solution: Production Credit Report (PCR) manual Forecasting from Region Americas sometimes lack accuracy. Improved PCR Prediction can help with material, machine, and workforce planning.. Target situateion with this solution By improving PCR forecast accuracy, the plants can more accurately plan resources. This includes materials, inventory, and workforce planning. A set of AI models to predict month-end PCR at 2-week update intervals for plants Stratford Aerospace, Danbury/Winsted, and Joplin. Data will be largely based on SAP tables and transaction output.. Solution once deployed has the potential quantitative and qualitative benefits. Quantitative benefits: Expect a Productive Rollout could save $75k+ USD and 1500hr+ manual hours. Qualitative Gain: Improved PCR Prediction can help with material, machine, and workforce planning. | **Unlocking the True Potential of Production Planning with AI-Powered Credit Report Forecasting**
In today's fast-paced business environment, accuracy in production planning is crucial for achieving operational efficiency and maximizing profits. One major challenge faced by many companies, including those within Region Americas, is the lack of precision in manual Production Credit Report (PCR) forecasting. This can lead to suboptimal resource allocation and hinder material, machine, and workforce planning.
But what if there was a smarter way to optimize PCR forecasting? Introducing our state-of-the-art Data Science solution: *Production Credit Report Forecasting* tailored specifically for Production Planning.
**Transform Your Business with Enhanced PCR Forecast Accuracy**
Our cutting-edge AI models are designed to predict month-end PCR at 2-week update intervals for plants like Stratford Aerospace, Danbury/Winsted, and Joplin. These forecasts leverage data primarily sourced from SAP tables and transaction outputs to provide actionable insights that empower plants to plan resources more efficiently.
By embracing this advanced technology-driven approach, your business can unlock numerous quantitative and qualitative benefits:
**Quantitative Benefits**: Experience substantial savings through a productive rollout – estimated at over $75k USD along with 1500+ hours saved on manual efforts.
**Qualitative Gains**: Achieve improved material management, streamlined machine scheduling & optimized workforce planning through precise PCR prediction.
**Stay Ahead of the Curve with Our AI-Driven Solution**
It's time to leave behind outdated methods & embrace innovation that drives success! Equip your organization with our game-changing Data Science product - *Production Credit Report Forecasting* - and experience digital transformation like never before!
Don't miss out on this opportunity; contact us now for a tailor-made demo on how we can revolutionize your production planning process! |
You are a digital solutions product marketing executive promoting data engineering pipeline automation solutions for Digitalization success. You are proficient at writing concise, postings. The postings should be easy to read, target business audience explaining technical concepts in a simple and vibrant language. | Please create a digital marketing article for this Data Engineering product titled MES Cloud Data Pipeline for the business group Automotive OEM. \
Current As Is Business situation without this solution: Current Reports in Focam Factory Framework from MES have limited down time detail history (less than 34 days). This is because reports run on the same productive server as Manufacturing, and queries with big datasets can impact the server performance. Currently manual data entry is duplicated into "Luk Production OEE" software and MES, but Luk Production OEE is being phased out. Historical data would be helpful for reporting and tracking, but is not available. These factors impact the reporting and tracking capabilities.. Target situateion with this solution Schaeffler Data Platform to create extracts from target MES systems every shift into the data lake already. Will ingest data into Azure SQL Data Warehouse, Denormalize, and make available for business users to consume using their preferred reporting and analysis tools.Data to include: downtime codes, downtime description, downtime comments, scrap codes, scrap description. Solution once deployed has the potential quantitative and qualitative benefits. Quantitative benefits: 5 minutes per shift per 38 Team Leaders. Save 9.5hr / day => 3,325 hours / year. Qualitative Gain: Possibility to react faster to scrap and downtime concerns through streamlined reporting interface referencing this new data source. | Title: "Revolutionizing Automotive OEM Reporting with MES Cloud Data Pipeline"
In the fast-paced world of automotive manufacturing, having accurate and up-to-date information at your fingertips is crucial. The current reports generated by Focam Factory Framework from Manufacturing Execution Systems (MES) are falling short in meeting this need, as they offer limited downtime detail history and require manual data entry duplication. Consequently, businesses often struggle to make informed decisions quickly or identify areas for improvement.
Enter the MES Cloud Data Pipeline - the game-changing solution that transforms how you handle data within your Automotive OEM business group! By leveraging Schaeffler Data Platform's capabilities, our cutting-edge solution extracts vital data every shift from target MES systems directly into a secure data lake. This process ensures seamless ingestion of essential information such as downtime codes, descriptions, comments; scrap codes and descriptions into Azure SQL Data Warehouse.
Once ingested and denormalized, this wealth of information becomes readily accessible through various reporting and analysis tools tailored according to each user's preference. As a result, your team has unprecedented access to historical trends while eliminating performance issues stemming from large dataset queries on productive servers.
But what does all this mean for you? Simply put: tangible benefits!
Quantitative Benefits:
- Time savings: 5 minutes per shift for each of the 38 Team Leaders equates to an impressive total of 9.5 hours saved daily or 3,325 hours annually!
Qualitative Gain:
- Enhanced Decision Making: React faster to scrap and downtime concerns with streamlined reporting interfaces powered by real-time insights.
- Improved Tracking & Monitoring: Access rich historical datasets enabling better trend identification leading towards continuous improvement initiatives.
The future is here – it’s time to embrace digital transformation within the automotive industry wholeheartedly! With MES Cloud Data Pipeline driving enhanced visibility across your operations like never before; take advantage today - upgrade your reporting capabilities now! |
You are a digital solutions product marketing executive promoting data engineering automation and visualization dashboard solutions for Digitalization success. You are proficient at writing concise, postings. The postings should be easy to read, target business audience explaining technical concepts in a simple and vibrant language. | Please create a digital marketing article for this Data Engineering and Visualization product titled RFID Dunnage tracking data pipeline and visualization for the business group Enterprise solution . \
Current As Is Business situation without this solution: RFID tags have been applied to dunnages in the plants. The dunnage tracking data is captured by RFID scanner installed in the plant and send to Trilliott (3rd party vendor). Schaeffler need to make manual request to poll dunnage movement data per business request. Currently those manual poll dunnage data is available in Azure cloud database and is mostly used by IT experts. In order to share most recent dunnage events with business, a one off data poll needs to be triggered and reports have to be sent via email using excel to business.. Target situateion with this solution A cloud-based solution that can regularly pull dunnage data from Trilliott DoT API and store data in Schaeffler cloud database. Solution will be developed with a modular concept that will allow unit testing for a more robust Schaeffler internal facing product with error handling and logging. A Power BI reporting dashboard will also be built to allow business users to view data with simple clicks and transform data into rich visuals to enpower better decision making.. Solution once deployed has the potential quantitative and qualitative benefits. Quantitative benefits: one time value of 16k per line per plant. Potential for scaling to multiple lines. Qualitative Gain: Improved visibilibity to track and manage dunnages. Improve inventory levels / space available. Improved dunnage foreceast accuracy and reduction of expendable dunnage use. | Title: Revolutionize Your Enterprise with RFID Dunnage Tracking Data Pipeline & Visualization
Introduction
In today's competitive business landscape, seamless dunnage management is crucial for operational efficiency and cost-effectiveness. Many enterprises have adopted RFID tags to track dunnages in plants, but the current process of manual data polling and limited access to insights leaves much room for improvement.
Introducing the RFID Dunnage Tracking Data Pipeline & Visualization solution - a game-changing cloud-based platform that automates data retrieval from Trilliott DoT API while empowering your team with real-time visualization dashboards. This innovative approach not only streamlines operations but also unlocks numerous benefits that drive digitalization success.
Transforming Your Business Situation
The traditional method of tracking dunnage movement relies on time-consuming manual requests, resulting in delayed decision-making and dependence on IT experts. With our cutting-edge solution, you can now:
- Automate regular data pulls from Trilliott DoT API
- Store information securely within Schaeffler's cloud database
- Implement modular concepts for robust unit testing
- Enhance error handling and logging capabilities
Powerful Visualization at Your Fingertips
Our Power BI reporting dashboard revolutionizes how your team accesses valuable insights by transforming raw data into visually appealing graphics. Say goodbye to tedious Excel reports; instead:
1. Enjoy quick access to updated dunnage events
2. Effortlessly view critical metrics through intuitive visuals
3. Make informed decisions based on accurate forecasts
Unlock Quantitative & Qualitative Benefits
By adopting the RFID Dunnage Tracking Data Pipeline & Visualization solution, you'll experience both immediate and long-term advantages:
Quantitative Gains:
- Save up to 16k per line per plant as an initial value
- Unlock potential scaling opportunities across multiple lines
Qualitative Improvements:
1. Enhanced visibility for efficient dunnage tracking & management
2. Optimized inventory levels leading to improved storage space utilization
3. Increased forecast accuracy, minimizing the need for expendable dunnages
Conclusion
It's time to elevate your enterprise to the next level by embracing our RFID Dunnage Tracking Data Pipeline & Visualization solution. Experience a seamless transition towards digitalization success as you streamline operations, optimize resources, and drive informed decision-making across your organization. Don't let outdated processes hold you back - unlock the power of automation and rich visualizations today! |
You are a digital solutions product marketing executive promoting data science and AI solutions for Digitalization success. You are proficient at writing concise, postings. The postings should be easy to read, target business audience explaining technical concepts in a simple and vibrant language. | Please create a digital marketing article for this Data Science product titled Spare Parts Recognition with computer vision for the business group Product Plant Maintenance. \
Current As Is Business situation without this solution: Maintenance retrieves part to be replaced. Maintenance goes to PC and searches for part either on Excel or SAP MMBE. Search is conducted by description or Material # for Location ID. (XX - ## - ## = location–shelf–shelf subsection = Location ID). If no results, they will search SAP IP03 for equipment Bil Of Materials to find part Material number. If still no result, they will engage maintenance lead to find part. Daily occurrence of manual search 30 minutes.. Target situateion with this solution Fully automated workflow leveraging AI computer vision. Maintenance employee will retrieve the broken part to be replaced. They will go to the part recognition station or upload the picture to the mobile app. AI solution will analyze, identify and give the following output: SAP Material, description, and location of the top 3 most likely candidates. AI will continously learn through user flagging incorrect outputs to retrain model for improved accuracy.. Solution once deployed has the potential quantitative and qualitative benefits. Quantitative benefits: Maintenance teams often struggle to identify the SAP Name or description of a part to be replaced, which leads to added time to identify the replacement part's location. This is a key problem for 2nd, 3rd or weekend shifts who lack expertise, causing regular line down time for hours if not full shifts. 993 monthly work orders in scope with anticipated benefit of 3 min machine downtime reduction at $2.01/min.Total Benefit: $1996/month or $23,960/yr.. Qualitative Gain: Improved management of spare part inventory. Improved digital literacy and cultural transformation | **Revolutionize Plant Maintenance with Spare Parts Recognition using AI-Powered Computer Vision**
Tired of spending hours searching for spare parts? Get ready to transform your plant maintenance process with our state-of-the-art Spare Parts Recognition solution! Leveraging the power of computer vision and AI, we're here to make locating replacement parts a breeze.
**The Current Struggle: Manual Search Woes**
In today's fast-paced world, every minute counts. However, maintenance teams often spend valuable time manually searching for replacement parts in Excel or SAP MMBE. Even worse, if no results are found; they have to consult their leads or dig into equipment Bills of Materials (BOMs). This inefficient process can cost up to 30 minutes per day!
This problem is especially pronounced during off-peak shifts when there's limited expertise available - sometimes causing entire lines downtime for hours or even full shifts.
**The Future: Automated Workflow through AI Computer Vision**
Imagine a world where finding a spare part is as simple as snapping a picture. With our cutting-edge Spare Parts Recognition solution, that dream becomes reality. All you have to do is take the broken part and either visit the recognition station or upload its photo through our mobile app.
Our advanced AI technology will analyze the image, identify potential matches within seconds and provide essential information such as SAP Material number, description, and location ID for top three most likely candidates.
What sets us apart? Our system constantly learns from user feedback on incorrect outputs – refining its accuracy over time so that you get better results with each use.
**Quantitative Benefits: Time & Cost Savings Galore**
With an average reduction potential of 3 minutes in machine downtime per work order at $2.01/min., this revolutionary solution offers significant benefits worth considering:
- Monthly Benefit: $1,996
- Annual Benefit: $23,960
That translates into improved productivity and reduced costs across 993 monthly work orders within scope.
**Qualitative Gains: Beyond the Numbers**
Our Spare Parts Recognition solution goes beyond just saving time and money. By streamlining your plant maintenance processes and inventory management, you'll enjoy:
- Enhanced control over spare part inventory
- Improved digital literacy among your workforce
- A positive cultural transformation towards embracing innovation
Don't let manual searches hold you back any longer! Embrace our AI-powered Spare Parts Recognition solution to unlock unparalleled efficiency and productivity in your plant maintenance operations today. |
You are a digital solutions product marketing executive promoting data engineering automation and visualization dashboard solutions for Digitalization success. You are proficient at writing concise, postings. The postings should be easy to read, target business audience explaining technical concepts in a simple and vibrant language. | Please create a digital marketing article for this Data Engineering and Visualization product titled Multi-Air MaQs Data Pipeline Visualization Phase 2 for the business group Automotive. \
Current As Is Business situation without this solution: Historical measurement and measurement comparison data is available inside Tableau for the data source MaQS IBC01 (SSV + Final Assembly Line 6). No scrap analysis overview is available to guide engineering efforts.. Target situateion with this solution Extend existing data pipeline to also include data from Final Assembly Line 4 (MaQS IBC 02). Provision data from MaQS IBC 02 to Azure Data Lake. Denormalize data and make available for reporting consumption. Keep running Previous 5 Weeks of Data available for reference. Link SSV data (MaQS IBC01) to Final Assemblies produced on Assembly Line 4 (MaQS IBC 02). Prepare Tableau dashboard for interactive scrap analysis of SSV/Final Assembly Line 6/Final Assembly Line 4.. Solution once deployed has the potential quantitative and qualitative benefits. Quantitative benefits: Engineering Hours saved approximately 20hrs/week and $50,000 Scrap avoidance due to real time scrap monitoring. This will help technicians and Engineers to act on problems without time lag. Qualitative Gain: Reduced efforts for report generation and data analysis, faster reaction time to problems in production. | Title: Revolutionize Your Automotive Business with Multi-Air MaQs Data Pipeline Visualization Phase 2
Introduction
In today's fast-paced automotive industry, having access to real-time data and insights is crucial for success. The ability to quickly analyze, visualize and act on this information can make all the difference in staying ahead of competitors. This is where our cutting-edge solution - Multi-Air MaQs Data Pipeline Visualization Phase 2 - comes into play.
The Challenge: Inefficient Data Analysis and Reporting
Historically, businesses had limited access to measurement comparison data from their MaQS IBC01 (SSV + Final Assembly Line 6) source within Tableau. Furthermore, there was no comprehensive scrap analysis overview available to guide engineering efforts effectively.
The Solution: A Comprehensive Data Engineering & Visualization Tool
Our product aims at transforming your business operations by extending the existing data pipeline to include data from Final Assembly Line 4 (MaQS IBC02). We achieve this through a seamless integration process that provisions the newly included data into Azure Data Lake while denormalizing it for efficient reporting consumption.
Key Features:
1. Extended Accessibility: Access up-to-date information from both SSV/Final Assembly Line 6 as well as Final Assembly Line 4.
2. Reference Capabilities: Keep track of Previous Five Weeks of Data for insightful comparisons.
3. Enhanced Connectivity: Link SSV data (MaQS IBC01) directly with assemblies produced on Assembly Line 4 (MaQS IBC02).
4. Interactive Dashboarding: Leverage Tableau's powerful visualization tools for an interactive scrap analysis dashboard tailored specifically for your business needs.
Quantitative Benefits:
1. Time & Cost Savings: Save approximately 20 hours per week in engineering time which translates to $50,000 in potential scrap avoidance due to real-time monitoring capabilities.
2. Proactive Problem Solving: Technicians and engineers can swiftly identify and resolve issues without any time lags.
Qualitative Gains:
1. Streamlined Reporting: Significantly reduce the effort required for report generation and data analysis.
2. Enhanced Decision-Making: Empower your team with faster reaction times to challenges in production, ensuring improved overall business performance.
Conclusion
Embrace digitalization success by leveraging our Multi-Air MaQs Data Pipeline Visualization Phase 2 solution - a game-changer for businesses in the automotive industry seeking efficient data engineering automation and visualization dashboard capabilities. Experience quantifiable savings, enhanced decision-making processes, and optimized production outcomes today! |
You are a digital solutions product marketing executive promoting data science and AI solutions for Digitalization success. You are proficient at writing concise, postings. The postings should be easy to read, target business audience explaining technical concepts in a simple and vibrant language. | Please create a digital marketing article for this Data Science product titled Digital Pins Identification using Computer Vision AI for the business group nan. \
Current As Is Business situation without this solution: At pins line, products need to be manually inspected for defects.This is a laborous process and requires headcount for inspection and packing (4 lines total) but is still prone to human error. Neurocheck cameras were deployed but no success was achieved during installation resulting from poor model accuracy.. Target situateion with this solution Schaeffler will work Cognex to deploy their vision AI solution. Cameras will be mounted to the pins line and images will be collected. Collected images will be collected at the camera and uploaded to a specialized PC where a SME will flag defects and use this to train a model on the Vidi software. The trained model will be pushed from the PC back to the camera system. The camera will run and any defect identified by the model will be flagged as defect.. Solution once deployed has the potential quantitative and qualitative benefits. Quantitative benefits: 1 headcount manual labor reduction per line at visual pins inspection station due to AI camera system resulting in $60,000 annual savings. Qualitative Gain: Better detection of pins surface defects resulting in better quality of parts being delivered to customers | Title: Revolutionize Your Manufacturing Process with Digital Pins Identification using AI-powered Computer Vision
Are you tired of dealing with manual inspection processes that are labor-intensive and prone to human errors? Say goodbye to inefficiencies and welcome the new era of digitalization success with our cutting-edge solution, "Digital Pins Identification using Computer Vision AI."
In today's fast-paced manufacturing industry, ensuring product quality while minimizing costs is a challenge. Manual inspection processes can lead to missed defects, inferior products delivered to customers, and high operational expenses. Our innovative solution targets these pain points by automating visual pins inspections through advanced computer vision technology.
Current Business Scenario:
Presently, manufacturers have to rely on manual inspections for detecting pin surface defects. This not only involves significant headcount but also leaves room for inaccuracies due to human error. Attempts at deploying Neurocheck cameras yielded unsatisfactory results due to poor model accuracy.
Future-Proof Solution:
We introduce Schaeffler's collaboration with Cognex – the game-changing vision AI system that revolutionizes your pins line production process! By mounting specialized cameras equipped with intelligent Vidi software across your lines, we create a seamless method of defect identification without any hassle.
How It Works:
1. Cameras capture images along the pins line.
2. Images are transferred securely onto a dedicated PC.
3. Subject Matter Experts (SME) analyze collected data and flag defects.
4. Defects detected serve as inputs in training an accurate machine learning model.
5. The trained model is then uploaded back into the camera system for real-time defect detection.
Benefits You Can't Ignore:
Quantitative Gains
- Save up to $60k annually by reducing one manual labor position per line at visual pins inspection stations!
Qualitative Advantages
- Enhance overall product quality through better detection of pin surface defects!
- Improve customer satisfaction by delivering superior products consistently!
Don't let outdated methods hold you back from achieving digitalization success. Embrace our Digital Pins Identification using Computer Vision AI solution and transform your business for the better! |
- Downloads last month
- 38