Meet the champions of the sharing economy: data analytics and digital transformation

At the center of this disruption is the massive amount of data that the sharing economy vanguards are generating

The new shared economy is triggering a business and IT transformation across all industries, and the results are visible to all of us in our daily lives, whether it’s using Uber for rides across town, or Airbnb to book our next vacation.
At the core of this sharing economy is innovation in business models and use of technology. As these innovations change consumer behaviors and their expectations of products and services, companies are feeling a strong sense of urgency to either adapt to this new world, or risk being disrupted by new entrants.
At the center of this disruption is the massive amount of data (specifically, unstructured data) that the sharing economy vanguards are generating. P2P, B2B, B2C, C2C—all these categories are creating data that, when captured, stored and analyzed, will be both indicative and predictive of business value, and can help drive growth.
There is no lack of available data on customer preferences and behaviors. In fact, technology has made this both instantaneous and cross channels. However, many business leaders struggle because data is being generated rapidly and collected from countless disparate sources from within and outside their organizations. Surprisingly, despite strong  momentum in the big data market with 53% of organizations in the APEJ region considering big data and analytics as important to the business, data is still largely seen as an IT asset and responsibility. 
Hence, businesses are recognizing the power of data-driven applications to impact consumer behavior. However, many organizations are struggling with how to extract business value from their data. Data analysts typically spend up to 80% of their time preparing the data before they can focus on analytics. In addition, many corporate employees report having access to data they should not, resulting in major security risks.
Analytic Insights Module (AIM) from Dell EMC helps address these challenges. It delivers all of the software, hardware and services necessary to stand up an environment for big data analytics and cloud native application development in just days. Apart from that it also helps organizations derive actionable insights that can be easily integrated into intelligent applications while ensuring security and corporate governance and enables the rapid searching, gathering and analyzing of data sources within the enterprise or in the cloud.
IT teams can define polices to ensure security and corporate governance across all users, apps, and data sources. Analytic Insights runs on Native Hybrid Cloud and includes Pivotal Cloud Foundry, making it easy to share data and analytic services with developers to create data-driven applications.
It also supports a partnership between the business and IT. It brings together business executives, data analysts, application developers and IT teams, providing each with the insights, data sources, tools and control they need and save time by enabling the analytics teams to recoup the time typically spent finding, cleansing, wrangling and preparing data for their analytics, thereby reducing up to 80% the time spent on this task, taking it from weeks or months to just hours or days.
In today’s times, it is important to enable customers to shift from developing and maintaining infrastructure to creating intelligent applications that transform their business. 
This article has been authored by Amit Mehta, Director-Sales, Emerging Technology Storage Division at DELL EMC, India & SAARC. 

Browse All Brands

Add new comment