Continuous Intelligence: Strategy, Technology, or Both?

Continuous intelligence (CI) is a strategic capability that integrates key technology elements to deliver real-time guidance on operational problems. If your organization has moved to technology concepts such as automation, AIOps, DevOps and multi-cloud management – or plans to – be aware of another key strategy, continuous intelligence. What is continuous intelligence (CI)? A web […]

Data, Analytics, and Insights: The Difference and the Meaning

Understanding how to differentiate between data, analytics, and insights and how they work. Data. Analytics. Insights. These three are the most important food for the soul of business today. The current scenario is more transformational and technology-dependent, where data is known as the digital currency. Data is driving business intelligence through advanced analytics and by […]

Digital Transformation Requires Redefining Role of Data Governance

I’m overjoyed to announce the release of my latest book “The Economics of Data Analytics, and Digital Transformation.”  The book takes many of the concepts discussed in this blog to the next level of pragmatic, actionable detail.  Thanks for your support! Organizations have a tragic mismatch between their investments in managing and governing data versus their investments in monetizing data. Organizations […]

Harnessing Business Analytics Capabilities To Improve Decision Making

How the quality of business decision making enables companies to adapt to the changing environment? The arrival of digitization across diverse industries has put immense pressure on business decision-makers to improve their overall performance. With companies generating huge amounts of data than ever before, they also come under pressure to derive valuable insights. However, the […]

Managing Data in the Cloud: The Challenge of Complex Environments for Real-Time Applications

Hybrid and multicloud strategies bring flexibility to your organization’s data management strategies. However, they also introduce new challenges and can create inefficiencies that should be addressed. Cloud computing is one of the key enablers for digital transformation. Using the cloud is becoming mainstream, and in return the cloud market continues to grow at a rapid […]

Why Enterprise Data Planning Is Crucial for Faster Outcomes

Are you planning on strategically using data to improve the efficiencies of your value chains? You are not alone and every organization in this league is looking at ways to augment these customer journeys. This can happen with artificial intelligence models that can make a journey interesting for a customer. If an organization is able […]

The Rise of the Chief Data Scientist

In the past, hiring a chief data scientist was considered a luxury. Now it is a “must-have” position, especially as organizations accelerate their digital transformations in a trickier post-pandemic environment. The importance of data science and analytics has skyrocketed in the chaotic post-COVID-19 world as organizations realize they must become more data-driven to survive and […]

7 lessons to ensure successful machine learning projects

Why It MattersEvery organization has machine learning opportunities, but finding the right team and the right uses can be a challenge. When Michelle K. Lee, ’88, SM ’89, was sworn in as the director of the U.S. Patent and Trademark Agency in 2015, she saw an opportunity. The agency was a bit behind on digital […]

CDO’S next major task: enabling data access for non – analysts

Digital transformation requires a commitment to enterprisewide data literacy if your organization is going to thrive in this changing business climate. The chief data officer (CDO) has taken on far greater digital responsibility than her predecessor has. She spearheaded the digital transformation in the past decade, laying pipes to bring disparate data sources to a […]