Data and analytics predictions and priorities for 2020

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Caserta’s CEO and principal data strategist discusses the data and analytics predictions and priorities for the year ahead

Data-and-analytics

Data and analytics

Data and analytics-We are at a pivotal point in the evolution of how we use data. With unprecedented technologies and new ways of harnessing and capturing the data that exists around all us, it is our responsibility to leverage that data in a timely and efficient way that improves lives and increases business value.

In the predictions below, learn how organisations will take strategic steps to become fully data and analytics-driven throughout 2020.

Prediction 1: Data spiders will come to fruition in a significant way

Starting in 2020, organisations will implement technology that sits in their corporate environment that will be able to scour their entire environment, locate all databases and datasets, and identify all of the enterprise’s information assets.

Early arrivals in this field include Modak Analytics, Manta, Global IDs, and Integris, but the number of providers is expected to grow throughout 2020. The ability to manage and monetise information is predicated on understanding the complete information portfolio, not only inside the organisation, but also throughout the extended business ecosystem.

Prediction 2: Bots will build data pipelines

Currently, we manually join data across different data sources and manually identify patterns to come up with business insights. In 2020, businesses will start to train machines to interpret dataset structures and infer ways to integrate them virtually and/or physically. Then, bots will automatically build data integration and analytics pipelines with nominal human intervention.

Recently, corporate IT departments, overwhelmed with the variety of data sources, have succumbed to building one-off data integration solutions for functionally-specific analytic needs. Or, they’ve resolved to dump data into unarchitected data lakes, leaving the integration later on to those using the data. ETL tool vendors soon will recognise and take advantage of the opportunity to plug this hole in the market with intelligent, dynamic enterprise data integration capabilities.

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Article Credit: IA

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