Major Aspects and Trends in Data Management and Governance to Expect This Year

ality check and will eventually use this year to develop their next-decade strategy, as far as data is concerned.

Artificial Intelligence and Machine Learning

First of all, AI, ML and the Internet of Things (IoT), and of course full process digitization will be a focus for companies. They see them as required capabilities, and therefore are willing to invest in more digital innovation. An important aspect is that organizations are aware that artificial intelligence is only successful when it is built upon solid data foundation. As Thomas Redman, the so called “Data Doc” states:

”Artificial intelligence and machine learning have been way oversold. Data Quality gets in the way of getting good results and organizations spend way, way more time cleaning things up”.

Automation

This major trend that has already transformed businesses and will continue to affect them in 2020. More and more companies will make automated quality testing the norm, because it is faster and more accurate. Moreover, many organizations will launch robotic process automation initiatives. The reason behind it is the fact that such projects have low cost and high return of incomes.

The importance of human insights

It is easy to say that will be the key to the future of all enterprise data analysis and decision making. But this won’t happen too fast. Human insight and oversight will be equally important to understand the context of AI-performed analysis, as well as the recommendations delivered.

The growing need to combine data sources

Having in mind IDC’s prediction of 175 zettabytes of data by 2025, researchers advise organizations to invest in techniques and technology that combine an enterprise’s data sources. They say that organizations that adopt a shared fabric among their data and analytics technologies will have an advantage over those that retain a siloed.

Development of mobile intelligence

According to analysts, mobile computing will re-emerge as one of the most significant technology opportunities in the next decade. The potential of augmented reality, wearables, voice assistants, etc., will bring the focus back on mobile intelligence.

Last but not least, this year many companies will continue to grapple with the question: What is Data Governance? It is true that the term “governance” has been widely used for everything from moving data from here to there to something about how you operate analytics. Although that there might not be any too drastic changes this year, at least we could expect that more companies will move from ‘what is Data Governance and why should I do it. They will not only create a strategy and implement, but adopt a whole new level of operationalization, in which Data Governance is really embedded with all project and decision-making operations.