Software Categories Research Resources Software Selection About Us EN Home | All Categories | Publications Latest BI Software Industry Reports Browse the latest BI software industry reports from our impartial analysts, covering business technology trends, product developments, and market dynamics. All Publications Top Publications Compare Now Publications Refine Results Clear Selections Search Categories Industries Publication Types White Papers 1,360 Blog Posts 592 Case Studies 182 Brochures 116 Industry Reports 57 Videos 25 Software Reviews 22 Datasheets 17 Buyer's Guides 11 Webinar 11 News 8 Podcasts 6 Accreditation Reports 4 1-10 of 57 Results Sort by Date Alphabetical What Is Artificial Intelligence and What Can AI Do for Your Business? Read Artificial intelligence (AI)-based devices and services are found more and more in the enterprise software realm, as well as linked technologies like cognitive computing and machine learning. In this report we explain the meaning of AI and its related concepts in today's business world. By Predrag Jakovljevic | May 27, 2021 Industry Report Business Intelligence (BI) and Data Management Industry Independent AI in Manufacturing: Enabling the Fourth Industrial Revolution Read The implementation of artificial intelligence (AI) technologies has the potential redefine manufacturing and revolutionize the sector. So much so, that the realization of this effort may culminate in the Fourth Industrial Revolution. Specifically, AI technologies have the potential to change the way manufacturers operate their production lines and factories and offer services to their customers. There are a number of areas where the incorporation of AI into the main software systems used by manufacturers will have an impact on the manufacturing business: Reduction of mundane and monotonous jobs, leaving them for robots and freeing humans to focus on more rewarding tasks. Quality assurance, in detecting a higher percentage of faulty products not visible to the naked eye and producing fewer defective products. Predictive maintenance, in ensuring maximal uptime and equipment efficiency, thus preventing or minimizing manufacturing delays. Enhanced customer service and support, by better understanding the issue and perhaps remotely addressing it, even without intervention from the customer. As AI technologies learn, they will find new ways to increase efficiencies and save manufacturers time and money. While the potential benefit of AI to manufacturing plants is immense, currently only a small fraction of manufacturers have invested into integrating AI technologies into their main software systems to enhance production and distribution. This is partly due to a lack of knowledge and understanding about the role of AI in manufacturing on the part of those involved in technological purchases for the organization. The report aims to enhance manufacturing decision makers' understanding of the importance of AI-based solutions and their potential for their manufacturing business. It takes a look at the evolution of AI, the AI-based software market within the manufacturing industry, including a look at the potential impact of AI on the shop floor. It examines how IIoT initiatives can help manufacturers complete the data value cycle and outlines the specific benefits manufacturers can expect to garner from these technologies. It also examines factors to consider in the evaluation of AI-based technologies, briefly describes the main AI-based solutions on the market, and captures users' perceptions regarding the adoption of AI technologies on their organization. By Jorge García | October 8, 2019 Industry Report Business Intelligence (BI) and Data Management Enterprise Resource Planning (ERP) Manufacturing Prophecy IoT®: Uncovering the Mysteries of Shop Floor Operations Read With the interconnection of intelligent devices commonplace in today's consumer world, the latest internet of things (IoT) technologies have penetrated the manufacturing realm. Today's machinery and various pieces of equipment are all equipped with sensors providing information about their operations to maximize performance and efficiencies. This industrial internet of things (IIoT) technology produces a large amount of data for analysis and decision-making. This report examines the role of IIoT in manufacturing and takes a close look at Prophecy IoT®, an IoT solution from Godlan that enables analytics of process and machine data for manufacturers. By Jorge García | May 22, 2019 Industry Report Business Intelligence (BI) and Data Management Enterprise Resource Planning (ERP) Manufacturing Top Trends Report: Analytics and BI Solutions in the Cloud Read The integration of analytics and business intelligence (BI) capabilities into one software solution is changing the way companies make sense of their vast amounts of data and use the insights they gain to make more informed decisions. What are the emerging trends in this field, the capabilities these solutions offer companies like yours, and how can your organization learn to reap the benefits. This Top Trends Report looks at the evolution of BI and analytics software solutions alongside the increasing prominence of cloud computing technologies. It describes how enterprises today can take advantage of cloud-based BI and analytics software solutions to grow their business and what are some of the challenges they may face and how to address them for rapid software adoption throughout the organization. This report also provides an overview of the main cloud BI and analytics solutions currently on the market, their major functionality features, and considerations for organizations in the process of selecting a cloud BI and analytics solution for their business. The report reviews the state of the market and how emerging trends may impact businesses today. Finally, the report ends with three real-life success stories of companies that have used cloud BI and analytics offerings from Infor, Information Builders, and Zoho to improve their business. By Jorge García | April 3, 2019 Industry Report Business Intelligence (BI) and Data Management Top Trends Report: Enterprise Performance Management (EPM) Solutions in the Cloud Read The evolution of reliable technologies for accessing data from all types of mobile devices and handling ever-larger volumes and types of data for analysis has enabled software providers to develop innovative, fully redesigned cloud-based analytics platforms. New-generation cloud-based enterprise performance management (EPM) software can improve all aspects of performance management, such as strategic planning, budgeting and forecasting, advanced analytics, profitability analysis, and reporting and dashboarding. This report describes important trends in the cloud EPM software market and summarizes some of the software solutions currently available. The report will enhance users’ understanding of the types of EPM offerings on the market and provide an overview of the features that constitute leading-edge cloud EPM solutions. By Jorge García | November 30, 2018 Industry Report Business Intelligence (BI) and Data Management Striving Toward Self-Driving Supply Chains Read Today's organizations require near real time visibility into their supply chains and analyses like never before to be able to rapidly respond to emerging situations and handle complex supply chain scenarios. They need to be able to make sense of structured and unstructured data from various sources, have current info about all their suppliers, track all their products and inventory pools, and ensure on-time delivery to all customer orders, etc. Compounded by customers' fickle nature and rapidly shifting loyalty, organizations must also promptly and accurately address customer queries—or risk losing business. To achieve this, organizations need to be able to take advantage of machine learning (ML) and other artificial intelligence (AI) technologies, and perform not only predictive but also prescriptive analyses. With these technologies in hand, the goal is to achieve continuous and self-driving supply chains—that will be propelled by digital technologies with minimal human intervention. By Predrag Jakovljevic | March 5, 2018 Industry Report Supply Chain Management (SCM) Business Intelligence (BI) and Data Management Enterprise Resource Planning (ERP) The Value of SAP Big Data Solutions for the New Business Analyst Read The data management landscape has changed dramatically in the last few years. As new business complexities demand more data and data in different formats, organizations need platforms solutions to process and analyze data faster and more efficiently—and as an integral part of the enterprise analytics cycle. Data is no longer merely a resource; it’s an asset. New computing paradigms and emerging technologies such as cloud computing and big data have taken a key role in the evolution of the new data management landscape. They are redefining the relationship between IT and business. The report explores the technological and business benefits of SAP Data Hub and SAP Vora, new solutions from SAP. SAP Vora empowers business analysts to work with big data in self-service mode without IT assistance, while SAP Data Hub addresses data integration, data sharing, and data integration challenges modern organizations face due to an increasingly diverse and complex data landscape. Read an analyst perspective of the technical and business impact of big data analysis on the new data-based business era in the context of more demanding business needs for complex data analysis and new enterprise software solutions that can provide this functionality. By Jorge García | December 14, 2017 Industry Report Business Intelligence (BI) and Data Management In-Memory Computing: Extreme Transaction Processing for Extreme Business Read There is no question that organizations today are experiencing a significant increase in business transactions. This is placing huge demands on data ingestion, processing, and throughput capabilities. The world has become transaction driven. Organizations across the globe are coming to realize the importance of having the right technology to manage the transactions that fuel ever-increasing business complexity. The speed required to process increased transaction and data volumes is a key concern for today’s IT departments. For the CIO of an organization, it is critical to build transactional systems on a solid data management platform that can keep pace with the business’s demands for performance, reliability, and consistency. No matter the industry an organization operates in or its size, companies need to ensure the right technologies are in place to ingest and process the large volume of transactions being generated from an increasing number of disparate system sources, and to do so quickly, accurately, and reliably. C-level executives know that the businesses able to harness operational data for effective transaction processing, operational analysis, and effective real-time decision making can achieve distinct advantages over those that do not have this capability. By Jorge García | August 17, 2017 Industry Report Business Intelligence (BI) and Data Management Making Customer Data Actionable with IBM Watson Customer Analytics, A Short Guide Read Organizations have information about their customers at the ready, but this data needs to be transformed into knowledge about customers’ shopping and engagement preferences. A customer analytics solution can help you know who your customers really are. This report is a practical guide to working through some common customer analytics dilemmas, including asking the right questions of your customer data, setting up an efficient environment for professionals to consume and interpret the data, and defining calls to action. You will also learn how the cognitive technology of IBM Watson Customer Analytics can assist marketing professionals in making customer data actionable. By Raluca Druta | March 16, 2017 Industry Report Business Intelligence (BI) and Data Management Customer Relationship Management (CRM) SAP BusinessObjects Cloud: SAP’s Approach to Analytics in the Cloud Read SAP has developed a new analytics offering for the cloud. Based on the SAP HANA platform, SAP BusinessObjects Cloud is the software giant’s new flagship analytics offering that combines business intelligence, planning, and predictive analytics—in a single solution in the cloud. In this report, Jorge Garcia, TEC’s principal analyst for BI and data management, recounts the highlights SAP BusinessObjects Cloud, as demonstrated by SAP to TEC. Jorge provides an overview of the architecture and functional capabilities of SAP BusinessObjects Cloud. He provides an analyst perspective on how the cloud-based offering helps organizations consolidate their analytics efforts into a single, easy-to-use, and reliable product-platform solution, and informs both the technical and business sides for better decision making. The report provides an in-depth review of how SAP provides a light yet robust analytics offering to accomplish these goals from the cloud. By Jorge García | January 13, 2017 Industry Report Business Intelligence (BI) and Data Management 1 2 3 Showing page 1 of 6 Top Publications Industry Report What Is Artificial Intelligence and What Can AI Do for Your Business? View Industry Report AuraQuantic: From Traditional BPM to Low-Code and Process Automation Innovator View Industry Report AuraQuantic—The Path to Digital Process Automation View Company TEC News & Events Partnerships Media Vendors & Resellers Consultants Quick Links IT Showcase ERGO ROI Calculator © 2021 Technology Evaluation Centers. All rights reserved.Privacy PolicyTerms of Use