February 23, 2023
Power BI DirectQuery vs. Import ModeThis blog is part of a series on Microsoft’s BI and Analytics tools from Greg Deckler, Vice President at a global IT services firm who leads a practice specializing in Microsoft technologies such as Dynamics 365, Power BI, and Azure.…
February 16, 2023
Data Science & BI Best Practices to Bring Teams TogetherThis blog is part of a series from Tobias Zwingmann, Managing Partner at RAPYD.AI. RAPYD.AI lets you easily and quickly build fully-functional AI prototypes or AI MVPs powered by state of the art AI-services from Google, Amazon and Microsoft. Tobias…
February 2, 2023
What Is an AI Center Of Excellence?This blog is part of a series from Vin Vashishta, Founder and Technical Advisor with V Squared. V Squared advises businesses on enterprise AI strategy, data product strategy, transformation, and data organizational build-out services. They have helped clients deliver products…
January 31, 2023
How to Implement a Composable Analytics Strategy that Supports your Data MeshAs we covered in parts one and two of this blog series, organizations establish data mesh in order to create more widespread, flexible data access across the entire business. And in order to achieve this, a data mesh approach must…
January 24, 2023
Data Mesh Success Depends on Business-Ready DataThe modern data-driven organization creates, captures, and manages a massive amount of data from many sources. These data assets hold massive potential to generate business value: reducing costs, gaining operational efficiencies, finding new sources of revenue, and outperforming competition. Realizing…
January 17, 2023
Using Self-Service Tools To Speed Up Data Product DevelopmentThis blog is part of a series from Vin Vashishta, Founder and Technical Advisor with V Squared. V Squared advises businesses on AI strategy, data product strategy, transformation, and data organizational build-out services. They have helped clients deliver products with…
January 12, 2023
The Definition of Data Mesh: What Is It and Why Do I Need One?Today’s leading businesses prioritize data mesh. The modern data mesh craze ultimately came about to streamline data democratization – that is, making the right data available to the right people at the right time. Democratization is a huge departure from…
December 20, 2022
Using Augmented Analytics for Predictive and Prescriptive AnalysesThere are six key areas for effectively consuming data for business insights: data, access, model, analyze, consume, and insights. For organizations looking to advance in each of these areas, AtScale’s Data and Analytics Maturity Model Workshop explains how teams can…
December 15, 2022
How to Maximize the Value of AI and BI at ScaleA few weeks ago, I spoke with two industry experts to get a first-hand view of maximizing AI and BI at scale. The panelists included Deepak Jose, Global Head of On-Demand Data and Analytics Solutions at Mars, and Jigyasa Grover,…
December 6, 2022
Deploying “Data as Code” Throughout the Entire EnterpriseHow analysts consume data is a key factor in determining how quickly, accurately, and efficiently stakeholders can make data-driven decisions. Without the ability to freely and speedily share data insights, it can take a lot of time, effort, and expertise…
