Following our annual tradition, we present to you Panorama’s top Business Intelligence Trends and Predictions for 2017. Tomer Paz, our Product Manager and BI Expert, put together the top 10 predictions that businesses should be aware of. You can see them in this clear infographic that will guide you through each one of the major trends that will take place this year.
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.
Federated BI failed. It forced users to work in silos and created a data mess. And now, Centralized BI is rising. Most organizations are moving to a centralized model of Business Intelligence.You might be wondering why is federated so messy and why is centralized so good? Check out this clear infographic about the differences between the two biggest models of BI.
With the exponential growth of data, there is a new concern in the data analytics and Business Intelligence world: how to achieve the best data visualization. We need to present data in a way that can communicate insights to decision-makers and benefit any employee. The trend is to create more digestible and user-friendly dashboards and reports.
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
20/20 vision—in 2020 we will know a world where we can actually see everything. The first big change I’ll go for is IOT. With the Internet of Things generating tons of real-time data, we will know what everyone does, when and how. Around 30 billion objects are expected to be connected to the IOT by 2020.
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.
If you are familiar with data or business intelligence, which I’m guessing you are, you’ve probably followed the evolution of data. Today we have Smart Data helping us improve our business practices and make better decisions, but let’s not forget the guy nobody invited to the party but showed up nonetheless: Dark Data. Enterprises have been collecting, if not hoarding, data for years. Who can blame them? We all have a little Mr. FOMO inside of us (Fear of Missing Out).
Panorama Software Announces the Release of Necto 16. Leading a revolution in the BI world—by making sense of data automatically.
Panorama Software announced today the release of the new generation of its flagship product Necto: Necto 16. It is the first and only solution in the market that is able to generate insights from the entire data structure—including Dark Data—and automatically provide meaningful insights.
June 15, 2016