Today’s time is all about data. There was a time when oil was the most precious thing but today data and information has taken that place in the industry. The increase of self-service analytics democratized the info product chain. Suddenly advanced analytics wasn’t only for the analysts.
2019 was a very major year for the business intelligence industry. The trends we presented last year will still play out through 2020. But the BI landscape is evolving and therefore the way forward for business intelligence is played now, with emerging trends to stay an eye fixed on. In 2020, BI tools and methods will become increasingly customized. Businesses of all sizes are not any longer asking if they have increased access to business intelligence analytics but what’s the simplest BI solution for his or her specific business. Companies are not any longer wondering if data visualizations improve analyses but what’re the simplest thanks to telling each data-story. 2020 are going to be the year of knowledge quality management and data discovery: clean and secure data combined with an easy and powerful presentation. it’ll even be a year of collaborative BI and AI. We are excited to ascertain what this New Year will bring. Read on to ascertain our top 10 business intelligence trends for 2020!
Data Quality Management
The analytics trends in data quality grew greatly this past year. the event of business intelligence to research and extract value from the countless sources of knowledge that we gather at a high scale brought alongside a bunch of errors and low-quality reports: the disparity of knowledge sources and data types added some more complexity to the info integration process.
A survey conducted by the Business Application research facility stated the info quality management because of the most vital trend in 2020. it’s not only important to collect the maximum amount information possible, but the standard and therefore the context during which data is getting used and interpreted is the most focus for the longer term of business intelligence.
Data discovery has increased its impact within the last year. The already mentioned survey conducted by the Business Application research facility listed data discovery within the top 3 business intelligence trends by the importance hierarchy. BI practitioners steadily show that the empowerment of business users may be a strong and consistent trend.
An essential element to think about is that data discovery tools depend on a process, and then, the generated findings will bring business value. It requires understanding the connection between data within the sort of data preparation, visual analysis and guided advanced analytics. “The high demand for data discovery tools reflects an enormous shift within the BI world towards increased data usage and therefore the extraction of insights,” the research facility emphasizes. Using online data visualization tools to perform those actions is becoming a useful resource to supply relevant insights and make a sustainable decision-making process.
This is one among the main trends chosen by Gartner in their 2020 Strategic Technology Trends report, combining AI with autonomous things and hyper-automation, and concentrating on the extent of security during which AI risks of developing vulnerable points of attacks. AI (AI) is that the science getting to make machines execute what’s usually done by complex human intelligence. Often seen because the highest foe-friend of the humanity in movies (Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI isn’t yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs.
While we work on programs to avoid such inconvenience, AI and machine learning are revolutionizing the way we interact with our analytics and data management while increment in security measures must be taken under consideration. the very fact is that it’s and can affect our lives, whether we love it or not.
Predictive And Prescriptive Analytics Tools
Business analytics of tomorrow is concentrated on the longer term and tries to answer the questions: what is going to happen? How can we make it happen? Accordingly, predictive and prescriptive analytics are far and away the foremost discussed business analytics trends among the BI professionals, especially since big data is becoming the most focus of analytics processes that are being leveraged not just by big enterprises, but small and medium-sized businesses alike.
Collaborative Business Intelligence
Today, managers and workers got to interact differently as they face an always-more competitive environment. More and more, we see a replacement quite business intelligence rising: the collaborative BI. it’s a mixture of collaboration tools, including social media and other 2.0 technologies, with online BI tools. this is often developed during a context of enhanced collaboration addressing the new challenges the fast-track business provides, where more analyses are done and reports edited. When talking about collaborative BI, the term “self-service BI” quickly pops up within the sense that those self-service tools don’t require an IT team to access, interpret and understand all the info.