​How HDS Is Betting Big On Data And Analytics

by Moumita Deb Choudhury    Jul 05, 2017

Data Analytics

Businesses around the world are facing enormous complexity and market volatility in a data-driven economy. They are therefore looking at data-driven analytics and insights as a resort to manage the increasing uncertainty in order to understand their customers better. Hitachi Data Systems, a wholly owned subsidiary of Hitachi, Ltd., is moving from being an infrastructure provider into capabilities like object storage which add analytics capabilities. All that works towards delivering an IoT solution for an array of customers.

So far so good:

Over the past few years, the company is transitioning from an infrastructure for enterprise capability to a data company, which manages, governs and accrues data and delves deep to garner visibility to run the analytics. It does all of these at an enterprise class mission critical way.

“Think of us as a data company which sets an entirely different context in terms of the value we provide to our customer and the kinds of enhancement we offer. They can not only secure their data but avail what suits their business, be it on premise, private, public or hybrid cloud model. With this, they can analyze across many more data sets than they have been able to previously,” said, Mike Walkey, Senior Vice President of Global Partner Organization, Hitachi Data Systems.


“Data is the key and therefore, we are looking at data as the core for any business. The idea is to utilize the data which is being churned out and make into a usable form, that is the core message which we bring to the table. We are leveraging our new generation technology for more effective utilization,” explained, Praveen Sawkar, GSI Head, Hitachi Data Systems.


The reality of IoT:

IDC predicts that the worldwide installed base of Internet of Things (IoT) endpoints will grow from 14.9 billion at the end of 2016 to more than 82 billion in 2025. At this rate, the IoT may soon be as indispensable as the Internet itself.

Despite the forward momentum, a new study conducted by Cisco shows that 60 percent of IoT initiatives stall at the Proof of Concept (PoC) stage and only 26 percent of companies have had an IoT initiative that they considered a complete success. Even worse, a third of all completed projects were not considered a success.

However, Mike made an interesting comment to this entire juggle, he said, “IoT is being utilized by and in many companies today to some extent. But the speed at which it is evolving and the plethora of objects that are being connected is a thing to be calculated. So, all the analyst have lot of information on the number of devices that are becoming connected. Even devices that traditionally have been connected in a simple way are getting more complex and additional sets of information are available now.”

The BMW car now possess several IoT attributes and it is wirelessly connected back into BMW data center. They are one of the leaders in that space, but that did not exist ten years ago. So the same evolution is happening throughout the spectrum and it is an exponential curve in terms of the number of sensors and types of data that is available, he added.

And coming back to the data part of it, he said, “It’s one thing to have the data or see it coming through the system but then knowing how to find the anomalies, how to find the case, where to take action and then utilize it to cases such as taking a truck off the road which has been stuck for two hours; or do an emergency repair or schedule the repair two days in advance sensing the vehicle’s condition is a different game altogether. All these add a lot of value and ability to provide productivity and efficiency gains for diverse companies.”

“We are doing those things today, but we just know that that growth is going to be exponentially large in terms of the numbers of use cases and the types of analytics that will be available to get even better predictive outcomes to help customers capture that,” Mike informed.

HDS is offering data and analytics for several other domains such as Banking, Construction, Fleet management, Fraud and Compliance Detection and Healthcare, to name a few, and is seeing a massive adoption.