While the interests in analytics and resulting benefits are increasing by the day, some businesses are challenged by the complexity and confusion that analytics can generate. Companies can get stuck trying to analyze all that’s possible and all that they could do through analytics, when they should be taking that next step of recognizing what’s important and what they should be doing — for their customers, stakeholders, and employees. Discovering real business opportunities and achieving desired outcomes can be elusive. To overcome this, companies should pursue a constant attempt to re-engineer their analytics strategy to generate insight that leads to real outcomes
The Goods and Services Tax has come into effect on July 1st and is pegged to be one of the most significant economic tax reforms carried out by PM Narendra Modi. While it will usher in greater transparency and create a simplified channel for tracking through data, it has also spawned the need for ERP and data analytics solutions. Other IT solutions include building capabilities such as billing software and payment gateways, thus creating plentiful opportunities across the IT spectrum. Industry experts say there is a $1 billion opportunity for IT vendors over the next two years.
If you devour all things analytics, then you’ll find this blog helpful. Before you can even choose, you need to assess your fit to an analytics role. The following primer will get you started:
The worldwide cyber attack that began last Friday and goes by the name of “WannaCry” has highlighted the need for governments and businesses to strengthen their security infrastructure, in addition to calling attention to the need to mandate security updates and educate lawmakers about the intricacies of cyber security.
Companies are using more real-time analytics, because of the pressure to increase the speed and accuracy of business processes — particularly for digital business and the Internet of Things (IoT). Although data and analytics leaders intuitively understand the value of fast analytical insights, many are unsure how to achieve them.
In most ways, Internet of Things analytics are like any other analytics. However, the need to distribute some IoT analytics to edge sites, and to use some technologies not commonly employed elsewhere, requires business intelligence and analytics leaders to adopt new best practices and software.
Analytics-as-a-service offerings are based on broad categories and attract a range of players with different backgrounds. The urgency to transform into a digital business and to compete more effectively in the global market is forcing buyers to become more information-driven.