CCPA is the latest regulation which should be a concern for all companies with California residents in their databases. There are less than 90 days left to be ready to comply with CCPA, on top of the other regulations.
Not so long ago, our CFO was looking at changing our financial system and it reminded me of a similar situation that happened when I worked at National Australia Bank many years ago. We changed our entire ERP because the organization needed to slice and dice their data differently. What they could have done instead was use analytics differently to extend the life of the products they had, so that’s what we’ve done.
In today’s businesses, data should underpin every decision. It can be your most valuable enterprise asset if it is processed, stored, managed, and shared in ways that your employees can find, use, and interpret it. To do this, you need a data integration strategy.
This is part three of an occasional series on data governance (DG) and its enabling technologies. In parts one and two I gave an overview of what data governance is and how it might be undertaken; in this blog, I talk about business glossaries--one of the key DG-enabling technologies--and how to create one.
The ability for cloud data warehouses to provide a single platform that enables organizations to analyze data at any scale is a market changing capability. Sure, much has been made of the ability of applying Artificial Intelligence (AI) to this data to gain insight into new areas, ultimately to increase an organization’s competitiveness. There is however a greater level of impact that this architecture can have that can be independent of AI and ultimately inclusive of AI.
When it comes to automation in the BI industry, I think a lot of vendors are holding back. It’s entirely possible to automate the majority of what data analysts do today, but vendors are reluctant to do this because it would impact data analysts and they’re a big gatekeeper in the buying cycle of analytic software.
We are very excited to announce that Unravel is now available for Google Cloud Dataproc. If you are already on GCP Dataproc or on a journey to migrate on-premises data workloads to GCP Dataproc then Unravel is now available immediately to accelerate and de-risk your Dataproc migration and ensure performance SLAs and cost targets are achieved.
