Data discovery

Visual data discovery involves using visualizations and visual exploration of data to find new insights that can help the business.

A new study finds that companies have limited or no visibility over vast volumes of potentially business-critical data, creating a ripe target for hackers.

The point of visualizing data is to engage the user, deliver information faster, and otherwise enable business insight.

Collaborative intelligence, AI, omniscient healthcare and 5G technology are among the items that will have the biggest impact on business this year.

Digitally mature organizations have higher revenue growth and net profits, according to a report by business and technology consultancy West Monroe Partners.

Enterprises are facing a number of difficulties as they attempt to integrate data into their real-time security, operations, and business decision making.

Nearly three in four companies still rely on batch processing, slowing the flow of insights.

Rather than stifle digital transformation, limited resources can motivate any company ready to think beyond the past, willing to find partners outside traditional vendors, and eager to be agile and creative.

A concurrent percentage have in place a management initiative or transformation program to make their business more digital.

Analytics skills are in short supply, but demands for data-driven results are not. Here are Forrester’s top tips on how chief data officers can drive business strategy.

A growing emphasis on measuring the performance of every operation across an organization to get a daily view of their performance is driving demand.

Organizations need to continue to build an agile data environment that can accommodate traditional BI platforms in concert with a modern information environment.

The life insurer’s LifeScore Labs division is ready to make its data tool available to other carriers in the space.

CDPs enable reliable and standardized data to inform consistent, data-driven customer engagements, which is where data becomes information.

Despite being the number one investment priority of CIOs today, few say they have reached a level of maturity in their data management efforts.

Organizations are producing larger amounts of information than ever before and there needs to be efficient ways to categorize and interpret it all. That’s where artificical intelligence comes in.

The rise of serverless computing, a bigger balance between cloud and local systems, and renewable energy adoption are among the priorities for a growing number of organizations.

A new study from EY finds that only 50 percent of global CEOs are well prepared to take advantage of disruptive change and opportunity created by technology, says Mark Weinberger.

Managing information in a digital world is as complex as the digital workflows supporting the efforts.