Tag: business intelligence

Feed: Planet big data. Author: Ronald van Loon. “Data will talk to you if you’re willing to listen”— Jim Bergeson. Few can dispute that. However, the challenge comes when data transforms into bundles and stacks of unorganized and unstructured data sets. The challenge comes with listening to big data and making sense of what it says. With big data, the conversing data becomes loud and noisy. You don’t hear the voice; you hear the cacophony. This is where organizations struggle. And, amidst a struggle, you look up to the leaders to see how they are rising to the challenge. You ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week. Announcements Vertica in-database machine learning supports the entire predictive analytics process with end-to-end machine learning management, massively parallel processing and simple SQL execution, allowing data scientists and analysts to embrace the power of Big Data with no limits and no compromises. Find out how you can accelerate time to value on predictive analytics projects with Vertica. Learn more. Don’t miss out! The next class ... Read More

Feed: Planet big data. Author: 9Clouds. Indices and tracking metrics are often the main inputs that help businesses harvest data, navigate Deep Web search and understand complex trends and make strategically important decisions. However, these limited and often unconnected measures do little to uncover the underlying influencers.Join BrightPlanet as we hold our next webinar, Harvest Data While Understanding Complex Trends and Their Influencers with AMPLYFI on Wednesday, October 4, from 11:00 AM-12:00 PM CDT. Mark Woods from AMPLYFI will demonstrate how AMPLYFI works to uncover the underlying influencers of trends. Go Beyond Traditional Indices and Tracking Methods with AMPLYFI It ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . Internally, Microsoft runs every aspect of the company using data. We refer to this as our “Data Culture”. As the leader of business intelligence and analytics for James Phillips, the Corporate Vice President who leads the Business Applications Group, I am often asked why and how we manage user feedback. With this post, I would like to share our practices around collecting and using data to accelerate development of business applications like Power BI, Power Apps, Microsoft Flow and the range of Dynamics 365 products. The primary metrics for ... Read More

Feed: Planet big data. Author: Ronald van Loon. Equestrian sports is one of the oldest forms of sports entertainment. Its history can be dated back to the ancient Greek civilization. Since then, the trots have transcended the periodical barriers from time to time, walking stride to stride with the age-specific customs, and entertaining the crowds in the process. And, in this present age, where everything is digitized, the trots have now become digital too. I recently attended the annual World Equestrian Festival, CHIO Aachen—the Wimbledon of Equestrian Sports—and interviewed Ingrid Klimke, the two times Equestrian Olympic champion; (Mr.) Michael Mronz, the ... Read More

Feed: SAS Blogs. Author: Carl-Olow Magnusson. I’m a bit of a data nerd, and especially a data visualisation nerd. I love graphs and charts, but not for their own sake. What I love about them is the way that a single picture can show so many different things, and often provide new business insights into data. It just makes everything clearer. Well, it makes everything clearer to me. But as a visualisation nerd, I also understand that not everyone can read graphs and charts easily. Data scientists can get a bit over-excited with the sheer beauty of their data visualisations, ... Read More

Feed: Planet big data. Author: Ronald van Loon.   Leveraging the use of big data, as an insight-generating engine, has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it is to refine the process of product development, help improve customer retention, or mine through the data to find new business opportunities—organizations are increasingly relying on the expertize of data scientists to sustain, grow, and outdo their competition. Consequently, as the demand for data scientists increase, the discipline presents an enticing career path for students and existing professionals. This includes those who are not data scientists ... Read More

Feed: MemSQL Blog. Author: Gary Orenstein. The Current Organizational Data Dilemma Today, many companies have years of investment in traditional databases from Oracle, SAP, IBM, Microsoft and others. Frequently these databases and data warehouses have long outlived their ability to cost-effectively perform and scale. These solutions also offer mixed options when it comes to cloud deployments. Over the past decade, data-driven organizations looked to new methods such as Hadoop and NoSQL to solve data challenges. Hadoop has proven to be a good place to store data, but a challenging place for production data workflows. Gartner noted at a recent conference ... Read More

Feed: Planet big data. Author: Ronald van Loon. Digital transformation continues to penetrate the paradigms of every industry. Whether it is the manufacturing industry, retailing industry or the service industry, the footprints of digital transformation can be found across all. Yet, amidst the great disruption, a resistance fosters. A resistance, that is coming from the healthcare sector. Dr. Robert Wachter, describes it as: “An inability to understand how computerization would utterly change the work” To elaborate, many people working in the healthcare industry have failed to understand the context in which digital transformation should be assisting them. They perceive the disruption as ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: melissa-love; There’s no doubt data science and machine learning are main areas of focus for enterprises to better their business. However, talking about data science and machine learning isn’t the same as making it a reality. This is why we’ve pulled together a few prominent data technology experts to answer how enterprises can make these illusive concepts a reality by operationalizing data science and machine learning and implementing it throughout their business.  Let’s meet the experts:  Colin Sumter is the founder of CrowdMole. He's an analyst, consultant and programmer specializing in ... Read More