Big Data Enablers: Service Models

•utility computing for analytics to anyone within or even outside your organization

•Analytics as a Service is not limited to a single database or software, but the
ability to turn a general purpose analytical platform into a shared utility for an enterprise

Analytics-as-a-service
Data Provisioning
Data Ownership
Localized Process
Faster Results
Dynamic Scaling
Increased ROI

Big data Enablers : Processing Models

“By 2014, 30 percent of analytic applications will use in-memory functions to add scale and computational speed”

-Gartner Feb 1st, 2011

Data Mining
In-memory Database Analytics
In-database Analytics
Real-time Data warehouses
Process-at-the-source
Distributed Databases
Clustered Databases
Columnar Databases

Predictive Analytics

Predictive modeling tools can help business people continually tweak their plans
based on flexible what-if analyses and forecasts that leverage both deep historical

data as well as fresh streams of current event data.

  • Forecasting
  • Targeting
  • Fraud Detection, Anti-Fraud Analytics
  • Regression, Predictive, Multivariate
  • Propensity
  • Price Elasticity

Text based Analytics

The main uses of text based analytics would be in the the following:
Social Analytics
Sentiment Analysis
Brand Identity
Product & Brand Affinity
Reputation Driven Online-Economy

Data Strategy for Analytics

Data today comes in all types of formats. Structured, numeric data in traditional databases. Information created from line-of-business applications. For organizations of all sizes, data management has shifted from an important competency to a critical differentiator that can determine market winners and has-beens. Fortune 1000 companies and government bodies are starting to benefit from the innovations of the web pioneers. These organizations are defining new initiatives and reevaluating existing strategies to examine how they can transform their businesses using Big Data. In the process, they are learning that Big Data is not a single technology, technique or initiative. Rather, it is a trend across many areas of business and technology.

Big Data refers to technologies and initiatives that involve data that is too diverse, fast-changing or massive for conventional technologies, skills and infra- structure to address efficiently. Said differently, the volume, velocity or variety of data is too great.


Structured, Semi-Structured
Unstructured
User generated
System generated
Interactive ‘pipes’

Enterprise Data

Mobile Analytics

When arguing a case to make a website mobile-friendly, abundant evidence exists to present to the business owner, such as the Pew Research study that shows that 56% of US adults carry around a smartphone. 

Digital Delivery Channels and Services
Property Effectiveness
Application Analytics
Ad Analytics
Geo-Spatial Analytics
User profile and Relevance

Identify New Opportunities