There is a myth in Business Intelligence. The perception when we speak about Centralized BI is that IT will be a bottleneck in the process. Perhaps we can do a small recap of BI history to understand the reasoning behind this myth.
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.
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.
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.
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.
Organizations face a big challenge today as they want to include all the right stakeholders and at the same time achieve more agility in their decision making processes. They are constantly striving to provide clients with more agility, while trying to give partners and employees the empowerment they expect. It is very hard to deliver both things.