Trends in Business Intelligence

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“Within the last few years, there has been a transition away from IT-centric reporting platforms to modern BI and analytics platforms,” according to Gartner’s 2016 Business Intelligence Magic Quadrant. With trusted and scalable platforms, organizations are empowering even non-analysts to explore governed data and collaborate with their findings. In 2017, modern BI will become the top priority for global enterprises

In 2017; collaborative analytics has taken center stage as data becomes more accessible and cloud technology enables easy sharing. Gone are the days of sharing data via static PDFs or PowerPoint decks. People can share live, interactive workbooks and data sources to  develop easy to understand Business Intelligence visual presentations of data relationships for making informed business decisions. People, regardless of their role, are now empowered to wear many hats, from consuming data on dashboards to performing their own ad hoc analysis, to sharing their findings with others. BI is rapidly shifting toward an environment in which people can explore data of all types, shapes, and sizes, and share insights to impact decision-making. Business users won’t have to worry about whether their data is stored in Hadoop, Redshift, or an Excel file. Indeed, users are perhaps in the best position to fully understand the needs and abilities that certain types of data can play. Now, they don’t need to be data scientists but can rely on fairly intuitive platforms to facilitate analysis and meaningful dashboard presentations.

Trends in Business IntelligenceAccording to the  Gartner Group, “The trend toward ease of use and agility that has disrupted the BI and analytics markets is also occurring for data integration.” Common data prep tasks like data parsing, JSON and HTML imports, and data wrangling will no longer be delegated to specialists.” In the near future, everyone will be able to tackle these tasks as part of his or her analytics flow. In 2017, analytics has become pervasive, and the market will expect analytics to enrich every business process.

Technology has replaced scripting and pivot tables with intuitive drag-and-drop interfaces. Natural language interfaces are a new addition to the BI toolbox. These tools such as Tableau can make data, charts, and dashboards even more accessible by letting people interact with data using natural text and language.

Advanced analytics will no longer be reserved for data scientists and experts. Business users are already leveraging powerful analytics like Tableau and other ERP solutions. Much like proficiency in Microsoft Word, Excel, and PowerPoint, competency in analytics will become a staple in the workplace, and many users across the enterprise are now able to build dashboards and perform ad hoc analyses in just a few clicks. Now, users can share their work with anyone and make an impact on  business decisions. From global enterprises to early-stage startups and small businesses, people everywhere will be able to tap into the power that Big Data and IoT is capable of providing.

Users can easily draw from a range of data bases including Excel to provide a wide range of comparison charts and grafts that are simple to manipulate for collaborative solutions as well as cloud based and scalable for just about any size of data events. While these programs are not totally intuitive, online tutorials and Youtube videos can make the learning curve quick and easy. In fact, up until last year, there was great concern about the viability of Big Data to provide a clear and concise picture of ubiquitous data but with the advent of smart platforms is just the link needed for both small and large enterprises to take advantage of the value that vast amounts of data can provide without the need for expensive professional data scientists. Indeed, while not considered Artificial Intelligence, the new tools show how even high-end professionals will be impacted by new technologies.

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