Data Warehouse Appliance Selection and Big Data Strategy

Background
This firm is the leading commerce site visited for online car shopping. They offer credible and easy-to-understand information from consumers and experts to help prospective buyers formulate opinions on what to buy, price points, consumer deals, manufacturer specials and dealer reviews.

Information and analytics at the company is consumed by all groups: marketing, campaign management, customer support, finance and internal product development. Big Data Analytics is core and critical to the success of the business — driving all aspects of planning, management and operations.

The Challenge
To maintain its leading edge in a highly competitive market, this firm needed to offer users of their site new and game-changing capabilities to research, compare, evaluate and purchase automobiles, thereby giving them a considerable advantage over other rivals. To make this plan come to life, they needed to have better insights on customer website activity, gain insights into behavior patterns and, most important, track and store impressions at the lowest grain.

The company knew it had to incorporate Big Data more effectively to provide a much better understanding into behavior trends, cross-shopping activity, and intelligence on geographic purchasing sensitivities. More comprehensive Big Data analytics would also assist in micro-focus marketing and improve their marketing efforts to automobile manufacturers, dealers and private sellers.

Methodology and Solution
CBIG was engaged to lead the planning and strategy of this firm’s new analytic architectures, develop a strategy, perform technology selection and evaluation and create a roadmap for the company’s next generation big data analytics environment.

CBIG led a successful program to create the next generation information platform for this firm with their Business and Technical leadership team. Activities in this strategic engagement included:

  • Developing a Data Warehouse Appliance RFI,
  • Executing multiple Data Warehouse Appliance POC’s,
  • Creating a big data strategy and implementation roadmap working closely with the company’s IT executives,
  • Devising a collaborative filtering architecture and application approach, and
  • Creating a RFI and assisting with the selection of data visualization tools.

Customer Profile
The leading online automobile research and commerce site.

Business Situation
Web impression marketing analytics to drive new sales and product development

Technology

  • Oracle Exadata
  • Netezza
  • Teradata
  • Vertica
  • Kognitio
  • Tableau
  • QlikView
  • WebFocus
  • Spotfire
  • Business Objects
  • Big Data Consulting 1
  • Big Data Consulting 2
  • Top Big Data Analytics Firm
  • 50 top big data firms
  • Best Management Consulting Firms
  • Big Data Analytics Consulting
  • Big Data Analytics Consulting 2
  • Marketing Analytics Consulting
  • Healthcare Analyitcs Consulting
  • Top Big Data Analytics Company
  • Top BI and Big Data Consulting Firms
  • 100 Top Big Companies in 2016
  • Top Management Consultants
  • Top Big Data Services Firm
  • Top IT Consultants
  • Top 20 Big Data Company
  • Data Analytics Consulting
  • top data analytics companies 2016
  • Top Hadoop Consulting Firm


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