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Insurance companies are going digital and how! The adoption of digital technology is one of the toughest challenges the insurance sector has faced in recent times. Digital strategies have transformed the consumer behavior and are driving insurance executives to reassess their present business model. It is time now, to make the digital agenda our priority and face the challenges ahead.

August 25, 2016 by Naveen Joshi

The challenge The most important thing we have to keep in mind is that the insurance sector is already filled up with a lot of complex mechanisms and practices. During…

Digital Business IOT

Big Data: A culmination of BI and Predictive analysis Big Data has been successful in putting a new life force into business intelligence as it hands on the power of prediction to the everyday decision makers. As more and more data streams are introduced and integrated into existing business systems, the single view of the customer may finally come into focus.

August 24, 2016 by Naveen Joshi

Big Data has come into the grand picture and is turning heads everywhere. It has revolutionized the way people leverage data by using a potent combination of Business Intelligence and…

Big Data

5 benefits of Cloud IaaS Cloud infrastructure has enabled business units, teams and individuals to make IT buying decisions outside the control of the IT department. But it is also bringing in new business risks. Business leaders should hence be informed clearly about the benefits of cloud so that they can make better decisions.

August 23, 2016 by Naveen Joshi

The last thing an organization leader wants to worry about when improving processes is whether the infrastructure can keep up with the need to innovate and respond to competitive pressures….

Cloud Computing

Extending consumer convenience of technology to employees It is important for financial technology companies to not only help their customers have a great user experience, but also let their employees reap the benefits of high end software solutions so they can effectively manage their work and grow as a professional in the right environment.

August 22, 2016 by Naveen Joshi

Enterprises are so caught up in making things easier for their customers that, in that process, they often forget about the betterment of their own employees. Although they provide their…

Technology

Does your enterprise need to care about digital ethics? There have been many debates around the intended and unintended ethical consequences of digital technology. CIOs, senior IT professionals, boards, risk officers and investors need to pay close attention to digital ethics and digital risks in the evolving world of the digital business.

August 20, 2016 by Naveen Joshi

The traditional IT function is expanding to fit digital business needs. While the journey becomes more and more complex, organizations need to develop and maintain digital ethics. Awareness Digital ethics…

IOT

Vendor monitoring and management to lower risks Analytics vendors offer a free or low-cost named-user licensing that enables them to sell their products directly to business analysts. But if not properly monitored, this practice can potentially aggravate the trend to bypass traditional software procurement processes and make the analytics program even more difficult.

August 19, 2016 by Naveen Joshi

Most of the times, organizations face difficulty when they have to decide which licensing model would be more cost-effective for them, in the present scenario as well as in the…

Blockchain

Big Data: Errors that enterprises make It is an age of Big Data and Big Data analytics. All kinds of organizations are trying to leverage Big Data so that they can improve their business outcomes. However, they are still not very clear on how exactly to use Big Data. This can be said as it has been observed that similar types of errors are being committed by every other organization.

August 18, 2016 by Naveen Joshi

Big Data implementation can help organizations to incorporate additional data sets into their existing data infrastructure, allowing them to question anything from their data sets. This seems very practical given…

Big Data