THERE IS 57% INCREASE IN CUSTOMER SATISFACTION IF A COMPANY HAS HIGH-QUALITY, BUSINESS DRIVEN DATA.

TDWI

AVERAGE COST OF DATA QUALITY IS 20% OF OVERALL BUSINESS PROCESS COSTS

GARTNER

53% COMPANIES HAVE SUFFERED LOSSES, PROBLEMS OR COSTS DUE TO POOR DATA QUALITY

BLOOR

IMPLEMENTATION OF A DATA QUALITY INITIATIVE CAN LEAD TO 20% TO 40% INCREASE IN SALES

WASHINGTON POST

BY 2018, US ALONE CAN FACE A SHORTAGE OF 190,000 PEOPLE WITH DEEP ANALYTICAL SKILLS AND 1.5 MILLION MANAGERS AND ANALYSTS WITH THE KNOW HOW TO USE THE ANALYSIS OF BIG DATA TO MAKE EFFECTIVE DECISIONS.

MELISSA DATA

Overview Of Big Data Analytics Services

Techwave's Big Data service offerings has been delivering value to its clients through smart data insights that have been helping clients with increased revenue options, higher marketing impact, lower costs and winning them loyal and happy customers.

In the current scenario, there is no standard methodology for data security for analytics engagement. Also, the client has the fear of exposing the data to 3rd party or competitor and has inhibitions in engaging a new partner. Techwave uses special IPs and secured cluster approach for data anonymity, so that clients get a guaranteed security.

In many instances, getting data is difficult or insufficient. In such cases, the delivery of analytics is dependent only on the quality of the data available. Techwave takes a step further to ensure that the client leverages best practices in data extrapolation to improve the quality of data used. The outcome of such an activity increases the quality of analytic and will highlight the risks.

In the real world, clients do not need just analysis but they need analytics that can mitigate risks, demonstrate tangibles and show the best practices. Usually this kind of data generation requires a long gestation period for value delivery and even so, it will have very limited clarity on value definition. Techwave not only accelerates the value delivery form months to weeks, but also provides clarity on the expected deliverables.

Why Do You Need Expert Data Analytics 

  • Implementation of a DATA quality initiative can lead to 20% to 40% increase in sales
  • 57% increase in customer satisfaction in a company that has high-quality business-driven data
  • 53% companies have suffered losses due to problems or costs due to poor quality data
  • Average cost of data quality is 20% of overall business process costs

How We Do It

Data from various sources is culled including textual data from social media and investigations. Structured data is collected from CRM, claims and policies, audio and video data is collected from call centers and customer interactions. Also, we mine the existing data warehouse. This data is then validated, co-related, refined and secured to offer valuable business intelligence insights and big data analytics to clients.

Big Data Solutions and Service Offerings

Business Analytics

  • KPIs Score Cards & Dashboard
  • Driver Based Analytics
  • Business Use-case simulation

Simulation and Optimisation

  • Monte Carlo Simulation
  • Revenue Modeling
  • Optimization

Social Media Analytics

  • Sentimental Analytics
  • Influence Analytics
  • Viral Analytics

Predictive & Descriptive Modeling

  • Classification Trees Regression, SVM
  • Neural Networks
  • Probability Distributions

Advanced Visualization & Data Analysis

  • Advanced & Complex Data Analysis
  • Dashboards, Charts, Graphs
  • Trend Analysis

Big Data Analytics

  • Data Discovery & Use Cases Identification
  • Unstructured & Structured Data Collation
  • M2M & Big Data Analytics

How We Work

1
We begin by understanding the pain points and also setting the expectations. Industry and domain experts will identify the current gaps
2
Data is prepared by choosing the right sources and extracting clean data
3
Identify the data distribution insights and outlier records
4
Create predictive models using advanced analytical techniques
5
Providing recommendations and next best actions and formulating business rules.

INDUSTRIES WE SERVE

Key Differentiators

CAPTURED TRANSACTIONS THAT LEAD TO KNOWLEDGE INFERENCES

Data is collected from various sources which include textual data, structured data, M2M data, Audio/Video data.  We also use the existing data warehouse.

DATA INGESTION THAT LEADS TO TECHNOLOGY EVOLUTION

Data can be segregated into the following categories:
- Relational
- Unstructured
- Real-time streaming data
- Analytical
- Data Migration- TD/Oracle to Data Lakes

ENRICHMENT THAT LEADS TO SCALABLE CAPABILITIES

The data is discovered, validated, co-related, refined and secured to make sure you get actionable and executable advice.

INSIGHTS AND BUSINESS VALUE

The business intelligence insights and Big Data Analytics bring about an alignment to business value.

no image added yet.

Big Data Analytics White Paper

For Log Analytics

Real-Time Analysis of Machine Data can improve business operations and reduce costs, by providing reports/alerts rapidly.. Click Here to download.