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.
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
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.
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.
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.
Business Intelligence transformed the way we do business, but there is still unleashed potential within it. We are analyzing only a part of our data, not all of it. The insights we get are limited and in consequence, so are our decisions. This is mostly because of Dark Data and how hard it is to analyze. And also because of human bias that doesn’t exactly allows us to see outside the box, so to speak. Now, imagine if you could get insights on all of your data. Your use of BI would be much more meaningful and your decisions would be insight-driven. In order to get there, we must take a couple of things into account.
It seems like Pokémon decided to accompany me through my whole life. I used to play with the cards when they first came out in the 90’s and now I’m thinking about the huge amounts of data the game is gathering and how they can be analyzed with smart data discovery solutions. Who would have thought that after so many years it would make such a comeback! Even though it is only officially available in three countries, Pokémon Go already beat WhatsApp, Instagram and Snapchat in time spent on the app, and is fighting with Twitter for daily active users. To what does it owe its success? Continue reading