Generative artificial intelligence (GenAI) is a catalyst for innovation in knowledge management, driving transformative experiences and operational excellence in businesses. At the same time, GenAI needs a knowledge foundation to deliver trusted answers. We see our clients experiencing a 6X increase in getting trusted answers and a 5X increase in speed of knowledge creation and curation when they leverage GenAI with a modern knowledge foundation.

In this article you will learn: What is data observability? Why is data observability necessary for your data platform? What are the must-have features of a strong data observability platform? What is data observability? Data is increasingly important to today’s businesses — and ensuring the quality and reliability of that data is critical.

To be effective at their jobs, staff in an organization want to find the data they need quickly, and they want it to be high-quality data. This means the data needs to be accurate and current. Leaders want data to provide the basis for rich insights that enable timely and informed data-driven decision-making. ©Andrey Popov / Adobe StockThe legal department requires data to be handled by everyone in a manner consistent with laws and regulations.

Customer analytics is different than many business metrics you're probably familiar with: It focuses on customers' needs rather than on the company's needs. Through customer analytics, you can understand what drives customer satisfaction, customer loyalty, and repeat purchases. You'll also understand how your customers differ or are the same and how that may affect different pricing strategies, features, and marketing campaigns.

You can’t buy a data governance program off-the-shelf. That’s actually good news. Organizations must implement a program relative to its level of interest, as well as its needs, budget, and capabilities.Even a modest effort can produce meaningful results. Glancing at all the areas in the figure below may seem overwhelming, but not all of these elements need to be addressed (certainly not at first), and there are different degrees in which each can be pursued.

In general, the definition of a data governance tool is one that assists in the creation and maintenance of policies, procedures, and processes that control how data is stored, used, and managed.No doubt, many aspects of data governance are complex, particularly in larger organizations. Fortunately, as expected from a competitive marketplace, where there is opportunity, you will find providers and their software solutions only too willing to help.

This Cheat Sheet summarizes two important aspects of data governance: creating policy documents and the responsibilities of a data governance council.Creating data governance policy documentsA policy is an agreed-upon approach for guiding decisions to reach certain outcomes. Policies steer day-to-day actions in support of an organization’s philosophy, strategy, and the requirements of the marketplace, including laws and regulations.

Business intelligence process creates an environment for better decision-making. To make successful business decisions, you need to gain insight in business intelligence, follow the main steps of the key performance indicators (KPI) cycle, find the best source to store and process operational data, and assess and use standard business intelligence applications.