Artificial intelligence (AI) is rapidly gaining ground as core business competency. Today’s machine learning (ML) or deep learning (DL) algorithms promise to revolutionize business models and processes, restructure workforces, and transform data infrastructures to enhance process efficiency and improve decision-making throughout the enterprise. Gone are the days of data silos and manual algorithms. However, widespread […]
Demystifying the New Normal with Data and Analytics
Click to learn more about author Devansh Sharma. Analytics has been a key enabler for businesses in the past few years. We have seen the entire world shift from process-driven to data-driven decision-making. And now that we are standing at the brink of a new normal amidst these unprecedented times, the usage of data and […]
Data Governance and Serverless Computing
Some of the latest buzz in the big data world is centered around the complexity of on-premises, Hadoop technology implementation, and so enterprises are getting restless and moving to the cloud. In an increasingly cloud-friendly business landscape, serverless computing may hold more promise than retrofitting Hadoop. More and more global businesses are moving to the […]
Why CDOs Need a Bigger Budget Now for Data Governance
Click to learn more about author Amar Kanagaraj. The cybersecurity landscape has been undergoing a sea change, driven by growing data privacy concerns, ever-increasing security threats, regulations, and geopolitical factors. Recently, COVID-19 has fundamentally changed many definitions and structures for businesses. The current health crisis has brought data privacy and security vulnerabilities more sharply into […]
Metadata Repository Essential Use Cases
“Even though we’re working with very sophisticated Data Science resources, we still hear over and over, ‘I don’t even know what data is available,’” said Susan Swanson, the Senior Manager of Data Modeling and Architecture at Health Care Service Corporation (HCSC), an organization that offers regional health care coverage and services. Speaking at the DATAVERSITY® […]
Governed Self-Service Analytics, People, and Processes
Click to learn more about author Aditi Raiter. Self-service BI is lucrative but demands an eye on governance and security. In this article, I will stress the behaviors and strategies needed around managing self-serve BI/reporting tools. Self-service analytics rotates around business users having access to data preparation and dashboard building tools. There are many challenges […]
Unify Data Governance with Data Architecture
Think of an organization trying to create a single understanding of the information of the organization and the instances of that data around its estate. Consider different groups of people contributing to and using this model from different perspectives and varying reasons. And view this in the context of Data Governance, Data Architecture or Business […]
A Data Governance Policy Becomes a Focal Point of Real Change
Click to learn more about author Steve Zagoudis. One of the most critical aspects of an effective Data Governance implementation is having a comprehensive Data Governance policy. The need for a policy is often considered a bureaucratic burden. Like a charter, all governance groups seem forced to have these two governing documents as a license […]
Garbage In, Garbage Out: How We Got Here and Why We Must Get Out Now
Click to learn more about author Bill O’Kane. Organizations across industries continue to deal with a broad-based inability to commoditize siloed business processes in favor of a digital business transformation — one that requires a common understanding of the organization’s master data. Studies have found that many businesses have recently become much more cognizant of this, or […]
Data Lakes: What They are and How to Use Them
Click to learn more about author Jaya Shankar Byrraju. For most companies, having data means having access to wealth. And the key to fully leveraging the wealth that data represents lies in how effectively companies harness, manage, parse, and interpret it. But first, the data must exist somewhere. Enter data lakes. These are central repositories […]