DataKitchen

NOVEMBER 29, 2021

In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders. Model developers will test for AI bias as part of their pre-deployment testing. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

DataKitchen

JANUARY 3, 2022

Business analytic teams have ongoing deliverables – a dashboard, a PowerPoint, or a model that they refresh and renew. There’s a recent trend toward people creating data lake or data warehouse patterns and calling it data enablement or a data hub. Business Analytic Challenges.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Sisense

DECEMBER 11, 2019

Driving startup growth with the power of data. The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. Kongregate has been using Periscope Data since 2013. Diving deeper into the datasphere: Data lakes — best practices.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Andrew White

JANUARY 11, 2021

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. This would be part of a Data Literacy program. Decision modeling (one of my favorites). Data lakes don’t offer this nor should they.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52