DataKitchen

NOVEMBER 4, 2021

Cloud computing has made it much easier to integrate data sets, but that’s only the beginning. Creating a data lake has become much easier, but that’s only ten percent of the job of delivering analytics to users. It often takes months to progress from a data lake to the final delivery of insights.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

DataKitchen

JANUARY 3, 2022

There’s a recent trend toward people creating data lake or data warehouse patterns and calling it data enablement or a data hub. DataOps expands upon this approach by focusing on the processes and workflows that create data enablement and business analytics.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

DataKitchen

AUGUST 27, 2021

They mastered hundreds of data sets, serving thousands of people, with very few errors or missed SLAs (service level agreements). The Otezla team built a system with tens of thousands of automated tests checking data and analytics quality. Has the data arrived on time? Is the quantity of data correct?

Analytics 246

Analytics Sales Testing Cost-Benefit 246

Cloudera

JANUARY 13, 2021

Engaging employees in a digital journey is something Cloudera applauds, as being truly data-driven often requires a shift in the mindset of an entire organisation. Putting data at the heart of the organisation. The platform is built on a data lake that centralises data in UOB business units across the organisation.

Digital Transformation 57

Digital Transformation Data-driven Data Lake Big Data 57

Sisense

JANUARY 13, 2020

From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire. And cloud data warehouses or data lakes give companies the capability to store these vast quantities of data.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

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. Quality test suites will enforce “equity,” like any other performance metric.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Sisense

OCTOBER 6, 2020

Additionally, quantitative data forms the basis on which you can confidently infer, estimate, and project future performance, using techniques such as regression analysis, hypothesis testing, and Monte Carlo simulations. Qualitative data benefits: Unlocking understanding. Qualitative data can go where quantitative data can’t.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98