BI Analytics and RPA

BI Analytics and RPA

BI Analytics has been changing the bottom line for businesses for quite some time. Now that more companies are mastering their use of analytics, they are delving deeper into their data to increase efficiency, gain a greater competitive advantage, and boost their bottom lines even more. That’s why companies are looking to implement machine learning (ML) and artificial intelligence (AI)

Business Analytics

Experience VAMA’s BI Analytics, an interactive way for virtually anyone to find, explore, and share data-driven insights in a governed environment. Find precise and timely answers from your data or from content built by others. Create compelling reports and dashboards which you can easily distribute throughout your company. Use automated alerts to monitor changes to key findings. Confidently and quickly take actions to improve your business.

BI used to refer to platform capabilities to access data, manage metadata, development tools for reports, dashboards, and applications, and publishing, scheduling and supply capabilities. Analytics referred to either methods of analysing information.

Industry leading BI platforms now include progressively more complex tools to perform different types of analytics – descriptive analytics, visual patterns discovery and predictive modelling and data mining. The value of a BI platform providing such tools is that the results of analysis achieved by highly trained analysts can be packaged in reports and dashboards.

Business Intelligence
AI drives reinforcement learning, which has implications for learning to

navigate 3D environments for autonomous driving

AI is critical to generative models, which are used to create natural language

in conversational interfaces, such as those with bots

Networks with memory are making it possible to create learning agents that

can generalize to new environments, robotic arm control tasks, autonomous vehicles, time series prediction, and natural language understanding and next work prediction

Contextualized smart search
AI deep learning helps all users integrate content quickly.
Dashboards can be created using drag and drop on mobile device or


Automatic recommendation of the best visualizations for particular data

templates and styles let you format reports instantly

On-demand menus for access to full capabilities over a clean workspace
Single interface to create ad hoc or pixel perfect reports, frees up IT
Robotic Process Automation

Robotic Process Automation:

Robotic process automation has gained traction as a way of automating tedious business tasks, freeing up corporate workers to tackle higher-value analysis and decision-making. But RPA requires proper design, planning and governance if it's to bolster the business

If you have just imagined c-3po, Optimus Prime, or Number 5 sitting in front of a laptop getting your work done for you, then the image you have in your head is not quite right, but it will help you get an impression of how RPA works – rather than a physical robot, it is a “software robot” that executes your business processes.

RPA works faster, up to 24 hours a day, makes no mistakes, reduces costs,

and documents all work seamlessly.

Thus RPA is another revolutionary step made by intelligent process