Big Data and AI Executive Survey 2019

whitePaper | May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing opportunities to deliver value from data. In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

whitePaper | October 20, 2022

Data governance defines how data should be gathered and used within an organization. Download this whitepaper to understand how it's linked to business success.

whitePaper | April 7, 2022

This white paper was created to outline best-practices for measuring, reporting, and building a constant stream of key performance indicators related to your physician network.

whitePaper | February 22, 2023

There are two reasons financial institutions are learning as much about their customers as possible by gathering—and processing—as much data as they can. Firstly, this information is invaluable for delivering more personalized products and services to increase revenues while making smarter decisions and improving operational efficiency. Better customer understanding can improve things like underwriting accuracy, for example, and many others.

whitePaper | December 12, 2022

In August 2022, the California Office of the Attorney General announced a $1.2 million settlement with international cosmetic retailer Sephora for violations of the California Consumer Privacy Act. Following this announcement came a wave of questions about the regulator’s emphasis on the broad interpretation of the CCPA’s “sale of data” and adoption of the Global Privacy Control.

whitePaper | November 24, 2022

As businesses adopt the cloud, they grapple with massive data fragmentation, making it impossible to know where sensitive data resides. At the same time, the increasing risk of data privacy breaches and noncompliance with regulations impose serious financial penalties. Sensitive Data Monitoring and Management is a SaaS application, hosted by Rubrik Security Cloud, that discovers, classifies, and then reports on sensitive data without any impact to production.