2020 Trends in Data & Business Intelligence

Analytics alone is no longer enough

In today’s world, we have access to more data than we know what to do with. But to get the most value from it, analytics is no longer enough – we need synthesis to bring it all together. In 2020, technology and processes will shift toward holistic, end-to-end data solutions that will revolutionize the data ecosystem and drive real change. These 10 trends will help make it possible.

Becoming a real-time enterprise is no longer optional.

If we’re going to make the best possible business decisions, we need our data delivered to the right place at the right time. 5G and IPV6, Kubernetes, streaming architecture, and more can help us respond in an instant – and stay ahead of the game.

Big data is just data. Next up? Wide data.

With data formats and sources more varied and fragmented than ever, combinations of data eat big data for breakfast. Companies that can achieve synthesis will stand strong.

Graph analytics and associative technology will surpass SQL.

To address bigger business problems, you need to break away from queries based on rows and columns. Technology that lets you analyze the natural associations within your data will get you better results.

DataOps plus self-service is the new agile.

DataOps improves the quality and reduces the cycle time of data management on the operational side. And self-service minimizes users’ reliance on IT. Together, they’re helping data flow more efficiently across the entire value chain.

Active metadata catalogs will be the connective tissue.

Demand for data catalogs is skyrocketing as enterprises face massive amounts of data distributed across multiple sources. Machine learning–augmented catalogs are keeping data adaptive and changing – even across hybrid and multi-cloud systems.

Learn more about our 2020 Data & BI Trends.

The emergence of Data Literacy As a Service.

The adoption rate for BI tools is currently at 35 percent. To get workforces over this “BI plateau,” enterprises must develop their data literacy programs – and they’re partnering with vendors to get people more comfortable working with their data.

Multifaceted interactions will move us beyond search.

Search is no longer enough. Tech that can understand and process human expressions combined with tried-and-true data query approaches is the key to bridging the human-computer gap.

Ethics and responsible computing are now critical.

Advances in technology improve our lives – but they can also raise serious concerns. That’s why it’s more important than ever for companies to ask not only can something be done – but should it.

“Shazam” for data.

Imagine if analytics systems could use algorithms to fingerprint our data, find anomalies and insights, and suggest new data for us? If we could “Shazam” our data, imagine how much more efficient and faster both data analysis and integration would be?

Independence vs. stack: The sequel.

Getting stuck in one data ecosystem will almost always be more costly in the long run, as big application stacks get more control over customers' data to monetize it. Independent, end-to-end business intelligence vendors and hybrid/multi-cloud platforms are now a necessity.

Here to help you on the path to success

  • 2020 Data & BI Trends: Analytics Alone is No Longer Enough

    Interested in a deeper look at this year’s trends? Download the companion eBook to get broader context, read fuller explorations, and see analyst predictions.
  • 2020's Biggest Data & BI Trends

    Listen in as Qlik® reveals the top data and BI trends, including why 2020 will see technology and processes shift toward holistic, end-to-end data solutions that will revolutionize the data ecosystem and drive real change.
  • 3rd-Generation Business Intelligence: Unlocking All the Possibility in Your Data

    Discover how the 3rd generation of BI spreads analytics to every corner of your business, finally giving all your users the power to make discoveries that ignite transformation.

Get ready to transform your entire business with data.