Last Saturday, March 11th, I attended the PowerBI user days. During the Saturday, PBIG offered a program of technical sessions, practical cases, and developments around Power BI. After the keynote, there were four one-hour sessions of five parallel tracks.
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As discussed in my previous post, Data Governance is a mandatory framework to manage and maintain a data-driven organization. Data governance is the beating heart of all your data management processes
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Data governance is at the heart of data management. It concerns all agreements and rules of the game of data management with which you determine, among other things, how you want to use all data, what your objectives are with it, how you guarantee its quality, and how you arrange data security.
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As mentioned in my post about Data Warehouses, a Data Warehouse is a centralized archive for storing and managing large amounts of data from various sources. Organizations design Data Warehouses to support the efficient querying and analysis of data, typically for business intelligence and decision-making purposes. The power of a Data Warehouse is that you can easily merge data from databases from different applications into management information based on one source of truth: the Data Warehouse.
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In the 1980s, researchers introduced the first proposals of using quantum-mechanical phenomena to perform computational tasks, and since then, researchers have been working to develop practical quantum computers. In the early days, these efforts were largely theoretical. Still, in the past few decades, quantum computers have become more functional, and researchers have built prototype quantum computers that can perform specific tasks faster than classical computers.
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In a previous post , I discussed the importance of a Data Warehouse in a data-driven organization. An organization’s Data Warehouse is essential because it provides a central repository for all data. A Data Warehouse allows data to be stored and accessed consistently and organized, making it easier for the organization to analyze and gain insights from its data, which can help to make better decisions and improve operations.
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(Big) Data management can be a great asset for a company if you carefully plan and execute a data strategy based on a clear Data Roadmap. With all the available data extraction, storage, modeling, and analysis opportunities, data can give you an edge over your competition. Doing nothing with data will do the opposite: lagging behind the competition, missing opportunities, and losing grip on an organization that demands agility in this era of information technology and a 24/7 global economy.
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