In the early days of business analysis and underwriting, data was managed with simply a pen and paper and, of course, Excel spreadsheets. As technology has advanced, databases, warehouses, and data lakes have enabled information to be collected, stored, and managed electronically. But as businesses have rapidly increased the volume, velocity, and variety of data […]
5 Key Benefits of Data Governance
Organizations want Data Governance, a formalized practice that connects different components – roles, processes, communications, metrics, and tools – for its benefits. Company-wide data represents a resource that will “become more valuable than people ever anticipated,” according to David McGraw, senior manager in consumer and industrial products at West Monroe. Advances in generative AI models in 2023 will only increase the […]
Data Fabric Use Cases
Data is expanding in volume, variety, and sources; therefore, so is the business need for trustworthy, accurate, and timely data for on-demand “competitive intelligence.” Data fabric use cases offer a long-range technological solution for handling the myriad challenges that come with such a complex data ecosystem. This “converged platform,” designed with a unique architecture and […]
ADV Webinar: Why Analytics Leaders Deploy Master Data Management
Download the slides here>> About the Webinar Master data is a key to digital transformation. All transformative projects require master data and usually many subject areas. What could you accomplish if cultivating customer, product, supplier, and other subjects didn’t have to be part of every project and could be accessed as a service? The […]
4 Essential Data Management Principles
Data is central to modern businesses. However, most companies fumble their approach to Data Management and fail to draw insights as a result. Data Management might seem like a back-office function, but it is critical to a modern company’s success. Getting started with or fixing your Data Management processes might seem intimidating. Here are four essential Data […]
Data-Ed Webinar: Gaining Business & Executive Support for Data Management
TIME: 2 PM Eastern / 11 AM Pacific Download the slides here>> About the Webinar Some days it just seems that you are constantly having to justify your data program. Or perhaps just trying to convince management that you need a data program and not a data project. You need to sell the concept […]
Quantifying the Value of Data to Business Leaders
When you hear the phrase “data monetization,” you might think of selling data to a third party – along with the many ethical and privacy issues that go with it. While this practice plays a significant role in our modern economy, there is another type of data monetization that receives less buzz but is equally […]
How FinOps Can Help Companies Optimize Their Cloud Instance
There’s a lot of buzz about FinOps, yet not many companies have incorporated it into their cloud strategy. According to our latest research – The State of Multi-Cloud Management – only 24% of surveyed organizations have a mature, effective FinOps practice in place. That number is predicted to grow, with 70% of respondents planning to make necessary […]
Driving Digital Transformation in the Insurance Industry: Embracing AI-Powered Solutions
The insurance industry has witnessed a significant shift in recent years as technological advancements continue to transform traditional business models. From underwriting to claims management, artificial intelligence (AI) and machine learning have paved the way for innovative solutions that improve efficiency, accuracy, and customer satisfaction. One such breakthrough is the emergence of AI-powered solutions such […]
A Brief History of the Data Warehouse
A data warehouse stores data from in-house systems and various outside sources. Data warehouses are designed to support the decision-making process through data collection, consolidation, analytics, and research. They can be used in analyzing a specific subject area, such as “sales,” and are an important part of modern business intelligence. The architecture for data warehouses was […]