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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Source: [link] SAP also announced key partners that further enhance Datasphere as a powerful business data fabric.

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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

These issues dont just hinder next-gen analytics and AI; they erode trust, delay transformation and diminish business value. Data quality is no longer a back-office concern. In this article, I am drawing from firsthand experience working with CIOs, CDOs, CTOs and transformation leaders across industries. federal agencies.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose.

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Available Now! Automated Testing for Data Transformations

Wayne Yaddow

Selecting the strategies and tools for validating data transformations and data conversions in your data pipelines. Introduction Data transformations and data conversions are crucial to ensure that raw data is organized, processed, and ready for useful analysis.

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How Your Finance Team Can Lead Your Enterprise Data Transformation

Alation

And while some might see finance as the most conservative department in an enterprise, we believe that they can become innovators, driving how their business consumes and uses data. Recent articles extol the benefits of supercharging analytics for finance departments 1. Building a Data Culture Within a Finance Department.

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Data Catalog Role in Data Transformation and Governance

TDAN

Nearly every data leader I talk to is in the midst of a data transformation. As businesses look for ways to increase sales, improve customer experience, and stay ahead of the competition, they are realizing that data is their competitive advantage and the key to achieving their goals. And it’s no surprise, really.

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Supercharge Your Data Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.