Why Mainframe Data Management is Crucial for BI and Analytics

January 16, 2021

While the entire purpose of business intelligence (BI) is to find behavioral patterns in the data and infer future trends or actions that can benefit the business, many enterprises have been missing a key component: mainframe data. Without this precious core data, much of which is hidden in mainframe environments, BI and modern analytics won’t live up to their potential.

It has often been stated that data is “the new oil” that can power economic growth. If that’s true, then it is also true that mainframe data has been largely untapped, confined to use in traditional systems of record and given only the most limited exposure to modern analytics.

Enterprises must clearly find better ways of accessing, analyzing, and using the data they already possess. The mainframe must yield its secrets.


How Mainframe Data Got Buried

The mainframe environment has evolved with consistency for more than half a century. It’s been the rock on which many businesses built their IT infrastructure. Mainframes reliably sustained business processes, research, and even helped businesses adapt to the World Wide Web.

However, while the rest of IT has galloped toward shared industry standards and even open architectures in on-premises systems and in the cloud, mainframe has stood aloof and unmoved. It operates largely within a framework of proprietary hardware and software that did not readily share data – and perhaps didn’t need to.  But with the revolutionary pace of change, especially in the cloud, old notions of scale and cost have been cast aside. As big and as powerful as mainframe systems are, there are things the cloud can now do better.

Analytics is one of those things. For example, in the cloud no problem is too big. Effectively unlimited scale is available if needed. Just as significant, a whole host of analytic tools like Kibana, Splunk and Snowflake, have emerged to better examine not only structured data but also unstructured data which abounds in mainframes.

These tools have largely been deployed on “new”…


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Over 22 billion records exposed in data breaches in 2020: Report –

Over 22 billion records exposed in data breaches in 2020: Report


SolarWinds Hack Leaves Market-Sensitive Labor Data Intact, Scalia Says

WASHINGTON—The Labor Department’s statistical arm—which prepares the jobs report and other market-sensitive information about the U.S. economy—was breached in the SolarWinds hack, but data wasn’t lost or corrupted, Labor Secretary Eugene Scalia said.

The breach was a “serious episode,” Mr. Scalia said in an interview. He added that the intrusion was isolated and that the hack didn’t affect the Bureau of Labor Statistics data, nor did it spread to other agencies within the department.

“The public can have total confidence in the data that BLS has,” he said. He added that the department determined that none of the bureau’s data was “exfiltrated,” or transferred from the bureau’s systems. “No data was lost or corrupted,” Mr. Scalia said.

U.S. officials and cybersecurity experts have characterized the attack as a cyber-espionage campaign, not one intended to damage computer systems.

Mr. Scalia became labor secretary in September 2019. He previously worked as a corporate-regulation and labor-law attorney. In the interview he discussed his concerns with the unemployment-insurance system, the transition to the Biden administration and the need to protect democracy in the wake of the Capitol riot. He declined to comment on impeachment proceedings or calls to remove President Trump from office. He is expected to step down as labor secretary when President-elect Joe Biden is inaugurated Jan. 20.