Explore the evolved Business Intelligence (BI) tools to transform your products and services to be more data driven for the best business decisions.
Business Intelligence(BI) has helped you analyse your raw Big Data and presented you with insights for better informed business decisions. It has transformed the problem of your organisation drowning in an influx of data into an opportunity. An opportunity to encompass various tools, applications, and strategies to make sense of your Big Data and empower you to get data driven. And this has been the underlying concept of BI since ancient times. Mankind has created procedures, systems and instruments for gathering and investigating insights to facilitate basic decision making.
But have you explored the significantly evolved Business Intelligence tools to make the best possible decisions?
The BI and data analytics market is in the completion stages of a shift from being IT-led to business-led. As a result, the modern Business Intelligence and business analytics platform has evolved to keep up with the contemporary organizational requirements for accessibility, agility and deeper analytical insights.
Root-cause analysis (ability to drill down on Key Performance Indicators (KPIs) to a more detailed report)
Time-Series analysis (ability to track and analyse key metrics over time to identify trends and exceptions)
Predictive analysis (ability to forecast, model, and analyse complex relationships)
Segment analysis (ability to define, manage, and understand the behaviour of business groupings such as strategic customer segments, departments, and regions)
Statistical process control (ability to monitor and track variables via control charts and statistical analysis, commonly used in quality control programs such as Six Sigma and Total Quality Management)
First generation of BI in the 1990s: The concept of self-service was restricted to the vendor vision and was an entirely IT-led operation with minor discrepancies in the Big Data impacting the end result. During the first generation of BI, businesses could not make quick responsive decisions like they can today.
Second generation in 2000: Self-service BI tools like Tableau, QlikView and others entered the data analytics market, letting the employees access more than just a static report. Although this passed on the business analytics to the business analysts, but they were still dependent on IT to get the Big Data rather than the data coming to them.
Third generation: That brings us to today where the entire process of data analytics is self-service, or IT-enabled, instead of IT-led. This means analysing the multi structured data for greater value and insights and saving a lot of time as well as cost to improve efficiency.And this is only the start. This year, the emphasis is on intelligent automation, Machine Learning, augmented analytics and natural language processing as these factors collectively transform the way you interact with complex data and information. The major factors driving the BI market are increasing adoption of cloud, growth of advanced business analytics, adoption of data-driven decision-making, and the emergence of Internet of Things (IoT)-enabled technologies.
Using Cloud BI, you can get access to the data anytime, anywhere and as a result, about 75% of businesses plan to deploy Cloud BI by the end of this year.
So, no more drowning in Big Data. Welcome aboard the third generation of BI and gear up your business with the evolved Business Intelligence tools with speed and confidence to make the best, transformative, data analytics and business analytics decisions.