2021 Data Strategy Data Transformation Modeling 
Sisense
MAY 11, 2021
You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.
CIO Business Intelligence
FEBRUARY 16, 2023
“All they would have to do is just build their model and run with it,” he says. But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. For now, it operates under a centralized “hub and spokes” model.
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DataKitchen
APRIL 26, 2021
In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.
AWS Big Data
APRIL 19, 2023
The data science algorithm Valentine is an effective tool for this. Valentine is presented in the paper Valentine: Evaluating Matching Techniques for Dataset Discovery (2021, Koutras et al.). A knowledge graph allows us to combine data from different sources to gain a better understanding of a specific problem domain.
CIO Business Intelligence
JUNE 14, 2022
One remedy for this disconnect has been to give data a seat at the C-suite table, with many companies over the past several years hiring chief data officers (CDOs) to helm data initiatives. But in 2021, Harvard Business Review noted that the average tenure of a CDO is between two and two-and-a-half years.
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