Tag Archives: data analytics

Is Self-Service BI Scary?

     Self-service BI is a hot topic as the year is coming to an end. It is a major trend that will continue in 2017. Some CIOs think it is a scary scenario, while other CIOs fully embrace it. Why do we see such duality? It can be attributed to two main models in Business Intelligence: federated and centralized.

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Insights at Intel Capital Global Summit

This year’s Intel Capital Global Summit was a great success. Inspirational industry thought leaders gathered together to talk about their businesses, future technologies, and innovation. Eynav Azarya, CEO of Panorama Software, said it was a pleasure to be there. He mainly talked about data insights.

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10 Things Retailers Can Do With BI

Data analytics in the retail industry is not something new. Retailers have been tapping into data for years now, gaining what is called consumer or shopper insights to improve their performance.  They have access to loads of data that comes from multiple data sources: purchase transactions, CRM data, customer loyalty programs, etc.

Now, in the age of the consumer, achieving customer satisfaction and engagement is more challenging than ever. This is an era where consumers are super informed. They want to know everything, and in real-time. They expect companies to provide solutions immediately. That’s why smart data discovery and BI tools are being used by retailers to get a much better understanding of customer behavior and preferences. In this new consumer era, smart data analytics is no longer a plus, it’s a must-have.

To justify why it’s a must-have, we’ve put together a list of 10 very cool things retailers can do with BI. Continue reading

Are Smart Cities a Smart Idea?

We generate around 7 and a half sextillion gigabytes of data worldwide every day. The amount of data we generate is growing exponentially. We know that 90% of the world’s data was created only in the last 2 years. And the Internet of Things is already a reality, and one that grows at unprecedented pace. Around 30 billion objects are expected to be connected to the IOT by 2020. Everything will be connected, from sensors in soil and oceans, to street lamps, to wearables, cars, and even dog collars. This means that the billions of sensors in devices will be generating tons of data. If this data is processed and analyzed correctly, the possibilities for finding insights are endless.

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Choosing The Perfect Chart For Your Data

Choosing the perfect chart to display your data can be a tricky task. There are so many options! But there’s always one that’s a perfect fit, transforming your data into visual insights. Your goal is to make your charts as easy to understand, clear, and attractive as possible. We are sharing this infographic with you to help you achieve effective visualization in a minute.

Necto 16

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History of Business Intelligence

According to the article History of Business Intelligence. The term Business Intelligence was used for the first time in 1865. Richard Miller Devens mentioned it in his book Cyclopedia of Commercial and Business Anecdotes. In the book he describes the success of Sir Henry Furnese, a banker that had information of the market and political issues before his competitors did. “Throughout Holland, Flanders, France, and Germany, he maintained a complete and perfect train of business intelligence,” Devens writes of Furnese. “The news…was thus received first by him.” The idea of Business Intelligence was gathering information for business purposes.

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