This article, written by GRAX CEO Joe Gaska for Dataversity, discusses the challenges to accessing historical data and how to overcome them for efficient data reuse.
If we don’t learn from our past, we’re bound to get stuck repeating it while the world changes. That is the idea behind reusing historical data to inform business decisions. In this article for Dataversity, Gaska explains how historical, mission-critical data stored in SaaS applications can help to uncover cause and effect relationships so businesses can recognize patterns, take smarter actions and create better opportunities.
- Historical data from SaaS applications can provide the context businesses need so that they are not making decisions in a vacuum.
- Accessing historical data for reuse and analysis through APIs is time- and cost-prohibitive. IT teams cannot sustain this system, leaving crucial data locked in the app instead of leveraged for other purposes.
- For a better way to take advantage of historical SaaS app data, companies should reclaim ownership by storing it in their own data lake so they can analyze it with industry tools such as Tableau, Redshift, QuickSight, Power BI, Snowflake, and others.
Read more about this in Dataversity.
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