Wouldn’t it be great if you could analyze all customer interaction and learn which parts of our services or sales are better than others? Or analyze all of our service request textual descriptions and infer the call volume drivers? Understand the main topics of a chat session? Use the same data to understand how the customers are actually using our products? Or to go beyond customer interactions and help us identify the common bugs in our code by analyzing the text engineers type in a bug tracking system such as Jira or Bugzilla?
Liberating your data is not enough if a big chunk of it remains locked in human generated texts.
EMC’s Data Science as a Service team has created a highly-advanced text analytics technology which can help your organization unlock the value in human generated texts.
The Business Data Lake(BDL) is positioned as the one-stop-shop for all of the organization’s (big) data storage and analytics requirements. It is intended to address the three V’s of Big Data analytics – Volume, Variety and Velocity – by providing a vast amount of storage, ingestion of streaming, mini-batches and batches of data, either structured, semi-structured or unstructured. It fundamentally shifts the paradigm in business data storage and analytics by consolidating the multiple silos of data that can be found in organizations today.
More than ever, businesses see their futures tied to their ability to harness the explosive growth in data. You may even be familiar with the Business Data Lake concept—a central repository of vast information which can be used across an enterprise to drive all business intelligence, advanced analytics and even, eventually, intelligent applications.
We, at EMC IT, are in the process of creating a Business Data Lake, and I will be sharing insights about our efforts in this blog. To start, let’s trace the vision that’s leading EMC IT and other businesses to the shores of this new data landmark.
If your organization is like most, you have multiple business groups seeking to leverage pools of segmented Big Data in various ways to improve their operations, gain insight into customers, target marketing efforts, hone product features and more. Maybe you are even one of the few who have gained some significant value from these siloed business analytics using increasingly popular data science techniques.
However, most organizations, including EMC, still have a way to go to become an analytical enterprise, which bases both tactical and strategic decisions on data and analytics. This does not mean that the decision-making is out of the hands of the leadership of the company and the years of experience they bring, but it does mean that every decision has been critiqued based on what your analysis is telling you.
IT Proven allows you to leverage Dell IT’s first-hand knowledge and best practices to accelerate your own IT transformation journeys, transforming operations and delivering IT as a Service through the power of cloud computing. IT Proven highlights how Dell IT transformed into an agile, innovative, and competitive service provider.
Big Data is changing the way IT organizations operate and deliver solutions to the business. It is a new, contemporary approach for IT to help business users harness and interpret information to drive more efficiency, productivity, performance and value for the business. As EMC IT embraces Third Platform, we are breaking new ground with Big Data analytics to better position the organization to deliver a more competitive solutions.
EMC CIO Vic Bhagat (@VicBhagat) addressed this topic and more in a recent interview with the Pivotal Blog, tackling the questions, challenges and opportunities facing both EMC IT and global CIOs. Where can IT organizations begin? How can they drive new behaviors? How should they address internal clients?
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