Big Data

Las 53 Claves para conocer Machine Learning – Business Intelligence Article

Si hace unos días os presentábamos las 69 claves para conocer Big Data, hoy os traemos las 53 Claves para conocer Machine Learning. Que lo disfrutéis, si quereis conocer más o practicar, tenemos cursosTambien os recomendamos: Una breve historia del Machine Learning This is only a snippet of a Business Intelligence Article written by Todo BI Read Full Article

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iGaming Providers Turn To New Data Technology For Payment Solutions – Business Intelligence Article

Over the last seven years, the iGaming industry has come a very long way. In 2019, it has become one of the largest industries in the world. It is comprised of several different online gambling sectors like the online casino sites that accept PayPal, live sports betting, and poker. Big data is going to have a large impact on the direction of this growing industry. Industry data shows that the real money betting and gambling sector was worth around $417…

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The Essential New Role Of Big Data In Software License Management – Business Intelligence Article

Big data is transforming every organization on the planet. However, companies that manage software licenses to address their needs are most affected by advances in big data. Why Big Data Gives an Edge to Companies Managing Software Licenses How many software licenses does your organization have? What value do they bring? Big data algorithms will help answer these questions and help you leverage your applications as much as possible. Tech Target has touched on some of these benefits in their…

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The Connection Between Science And Business In Big Data – Business Intelligence Article

Making sense of all the noise is difficult in the era of data. Businesses have invested billions to hire data scientists, and data has already changed various fields involving retail and healthcare. On the other hand, Kaggle’s survey found out that many data scientists feel the lack of explaining data science to others as one of the barriers faced at work. Moreover, data science, according to Hugo Bowne-Anderson’s research requires from the scientists skills to learn on the fly and…

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Los 25 errores que cometen las empresas al usar Analytics (Bussines Intelligence, Machine Learning y Big Data) ~ Business Intelligence y Big Data: ¡Aprende Gratis sobre Analytics! – Business Intelligence Article

Muy interesante el articulo de Pedro Uría, sobre recomendaciones para la empresas al usar Analytics, en la misma linea de lo ya comentado por aquí en meses/años anteriores: ESTRATEGIA: 1. Soñando que la analítica es una varita mágica plug & play que traerá un retorno de la inversión a muy corto plazo. Los modelos básicos de Excel bien ejecutados pueden haber traído ganancias rápidas en la década de 2000, pero los análisis avanzados requieren algo de tiempo.  La analítica nunca…

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Common Data Analytics Mistakes | TDAN.com – Business Intelligence Article

Data analysis demands a lot of time, attention, and energy – essential resources that, once invested, can never come back. In fact, as a marketer, data analysis expert, or entrepreneur, your job is to effectively leverage those important resources to increase your company’s performance. To improve your analysis results, you’ll need to embrace the fact that you are maybe going to fail, regardless of how well-defined your data analysis plan is. That’s how it works – test, measure, optimize, and…

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Big Data And Analytics Has Been Around Forever! Why Is It Still Important? – Digital Business & Business Analytics – Business Article

These are some quick answers to some common questions I get about Business Intelligence, Big Data, and Analytics: Big Data. The term has been around for quite some time. Why is it still important for innovative businesses? It’s clear that data is one of the most important assets of the future. Organizations want to optimize their end-to-end customer experience, to improve productivity, and to engage the workforce in new ways. All of these things require data and analytics. And we…

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Inside the Mind and Methodology of a Data Scientist – Business Intelligence Article

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. And it doesn’t help reduce the confusion when every tech vendor rebrands their products as AI. So, what do these terms really mean? What are overlaps and differences? And most importantly, what can this do for your business? The simplest answer is that these terms refer to some of the many…

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The Resilience of Master Data Management – Business Intelligence Article

Final article in a six-part series on the “New Age of Master Data Management” by Julie Hunt For years, there have been industry professionals and analysts who seemingly find pleasure in declaring some type of technology “dead”. This compulsion has been a constant in the software industry. Master data management (MDM) is no exception. Some have been convinced that MDM was DOA practically from the day it emerged as a distinct form of data management and data governance. Making such…

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What Happened in 2017 and Where Is 2018 Going – Business Intelligence Article

Every year, the nice folks at BIBlogg.no reach out to various experts to get their opinions on the greatest trends in analytics. You can get the full list of answers here, but here are my answers to their questions. What was, in your opinion, the most important thing that happened in analytics in 2017? The biggest change was a massive wave of publicity about the power of data, with many algorithmic breakthroughs. Computers are now better at transcribing speech, reading lips, and…

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MDM – Speaking the “Language” of Business – Business Intelligence Article

Part 5 of a six-part series on the “New Age of Master Data Management” by Julie Hunt Data management continues to take on an ever-growing range of activities as the role of data has evolved and expanded for many organizations. Business agility and real-time insight are inherent requirements for many organizations. To meet such requirements, organizations need right-time data on a continuous basis, where master data management initiatives are integral to processing business-ready data. MDM software solutions are evolving as well,…

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Business People are Drivers of the New Age of MDM – Business Intelligence Article

Part 4 of a six-part series on the “New Age of Master Data Management” by Julie Hunt Master data management and data governance have always been about business. However, there has been a history of MDM implementations putting too much emphasis on technology, and less time into over-arching business aspects. For successful outcomes and continuous improvement, the ongoing participation of various business roles is an essential element of MDM strategies and activities. It takes ‘everybody’ to ensure optimal data management processes…

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How Does Technology Enable Effective MDM? – Business Intelligence Article

Part 3 of a six-part series on the “New Age of Master Data Management” by Julie Hunt No Room for “Tech for Tech’s Sake” Many organizations have routinely made technology purchases based solely on the predilections of IT groups. This approach to technology decisions has often proven to be a limited path in terms of providing the technology infrastructure imperative for business needs in today’s world, one that has become faster and more complex for many organizations. More organizations are now…

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MDM for Business Value: New Approaches – Business Intelligence Article

Part 2 of a six-part series on the “New Age of Master Data Management” by Julie Hunt Master data management is entering an ‘evolutionary’ era where MDM implementations better mirror how businesses use data for numerous purposes, and where people, practices and processes come to the forefront as essential elements. MDM functioned as yet another solution space that was harmed by disproportionate attention to its underlying technologies. But MDM has always been far more about business objectives and needs, as well…

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