Top 4 Major Data Challenges for Marketers in 2021
By: Sean Lee
Tags: Digital Transformation, Digital Marketing, 2021, Data Analytics, Data Challenge

Siloed Data

The rapid rise of omnichannel has witnessed the generation of massive amounts of customer data, sales data and product data, which undoubtedly provides businesses with unprecedented opportunities to gain deeper insights from customers. However, for businesses, it is also a huge challenge to aggregate and unify these massive data from multiple sources (such as e-commerce systems, POS systems, online marketplace, social commerce, CRM systems, ERP systems, etc.). Just like the sailor who stayed on the lifeboat after the ship sank, there is water everywhere, but you can’t drink a drop of it.

Data is everywhere in the organization, it is increasingly available and captured in a variety of different systems, but somehow it failed to provide a single source of truth for your business to capitalize on the data for its intended purposes.

Poor Data Quality

Since the beginning of modern computing, there has been an old saying “garbage in, garbage out” (GIGO). As more and more data is collected, stored, and used, the issues of GIGO or data quality are becoming more important than ever especially in marketing. Everything from customer personas, content strategy to media attribution modeling relies heavily on the accurate data that drives your marketing strategy and decision making.

Imagine this, if your data at the entry point is incomplete, inconsistent, duplicate, or out of date, then your report and analysis will eventually be wrong, and your decision will be flawed as well. Up to a certain point, you won’t even trust your data. In short, much like garbage, bad data only gets worse over time.

Thus, it is not difficult to imagine a future where data accuracy is vital to every business. Although there are some software or solutions available in the market to address the problems, still, it requires an organization-wide commitment to treating data as a valuable asset to fully embrace data quality management and prevent GIGO.

Poor Data Access

It is safe to say that you believe in the importance of being a truly data-driven organization and its significant business impact on your organization. However, without data democratization, no organization can become truly data-driven. This idea sounds simple to understand, but it is far more difficult to practice.

You may have had previous experience that when you requested the marketing data from your technical team, they may take several days to generate and extract the data for you.

There is no doubt that in today’s digital environment of business operations, speed is of the essence. Thus, data democratization becomes so crucial to every business than ever in empowering a more engaged and accountable team with the ability to make informed decisions at speed.

Lack of Data Competence

Anyone who has ever tried to analyze thousands of rows of marketing data in an Excel spreadsheet can attest that it is a very cumbersome and time-consuming process. For many of us, the volume of data is growing much faster than our tools and abilities for analyzing it. Eventually, it ends up we are spending more time prepping data, rather than conducting a quality analysis.

Without a solid data foundation, proper knowledge, effective tools, and refinement, even with the most accurate and complete data, you won’t be able to extract valuable insights from the data.