{"product_id":"9798868832482","title":"Aggregation Functions with DAX and Power BI Advanced Data Analytics in Business Intelligence","description":"\u003ch1\u003eAggregation Functions with DAX and Power BI\u003c\/h1\u003e\u003ch2\u003eAdvanced Data Analytics in Business Intelligence\u003c\/h2\u003e\u003ch3\u003eCarlos Campos Bracho | Witold Pedrycz\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Programming \/ Microsoft\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003eBusiness Intelligence (BI) has entered a new era—one where organizations no longer compete on creating the most astonishing dashboards, but on the mathematical sophistication embedded within their KPI metrics. As data volumes grow, data distributions become skewed, data uncertainty becomes structural, and decision‑making requires more nuance than simple averages or totals can provide.\u003c\/p\u003e\n\u003cp\u003eMost DAX-based BI systems rely on a limited set of aggregation functions such as SUM, AVERAGE, MIN, MAX, COUNT. These functions are easy to use, but they fail in scenarios involving skewed data distributions, multi‑criteria business decision‑making, non‑linear interactions between business criteria, data uncertainty, vagueness, and time‑dependent data.\u003c\/p\u003e\n\u003cp\u003eIn practice, when this set of DAX aggregation functions are applied to the above data scenarios, the outcomes could bring distorted KPIs, misrepresent risk, or oversimplify complex business scenarios.\u003c\/p\u003e\n\u003cp\u003eThis book presents how to transcend these limitations using mathematically grounded methods implemented directly in DAX. It is written to address that gap: to show how Power BI and DAX aggregation functions, when combined with advanced mathematical frameworks, can produce metrics that are not only more accurate, but more intelligent with higher business value.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBuild smarter KPIs with higher business value\u003c\/li\u003e\n\u003cli\u003eModel uncertainty and human judgment applied in BI scenarios\u003c\/li\u003e\n\u003cli\u003eHandle skewed, irregular, or incomplete data for BI applications\u003c\/li\u003e\n\u003cli\u003eImplement nonlinear and non‑additive aggregation for BI multi-criteria decision making\u003c\/li\u003e\n\u003cli\u003eCreate predictive, state‑aware BI systems\u003c\/li\u003e\n\u003cli\u003eUse DAX as a mathematical language, not just a plain calculation tool\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eWho This Book is For\u003c\/strong\u003e:\u003c\/p\u003e\n\u003cp\u003eThis book is suitable for mid-to-senior level BI professionals, data analytics managers, and data scientists. Users should be comfortable with DAX, Power BI, and semantic modeling.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cstrong\u003eDr. Witold Pedrycz \u003c\/strong\u003eis a Professor in the Department of Electrical and Computer Engineering at the University of Alberta and a member of the Polish Academy of Sciences. He is also an author of 14 research monographs covering various aspects of computational intelligence and software engineering. Additionally, he is an accomplished Editor-in-Chief, having organized journals like Information Sciences and IEEE Transactions on Systems, Man, and Cybernetics. In 2007 he received the prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Council. He is a recipient of the IEEE Canada Computer Engineering Medal in 2008. In 2009 he received a Cajastur Prize for Soft Computing from the European Centre for Soft Computing for \"pioneering and multifaceted contributions to Granular Computing.\"\u003c\/p\u003e\r\n\u003cp\u003e \u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003eCarlos Campos Bracho \u003c\/strong\u003eis a Business Intelligence consultant with over 15 years in the IT industry specializing in business intelligence, data analytics, and computational intelligence. His experience spans multiple industries including banks, oil and gas, pulp and paper, mining, and energy. Early in his career, he worked as a Data Strategic Analyst for the City of Edmonton in Canada, designing data architecture for transit analytics and dashboards for executive presentation. He also researched real-time business intelligence at the University of Alberta.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e01 March 2027\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eApress\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eApress\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9798868832482\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Apress","offers":[{"title":"Default Title","offer_id":51961957253260,"sku":"9798868832482","price":53.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/lateknightbooks.com\/products\/9798868832482","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}