Data Analytics
Evalueserve (EVS) provides a range of Data Analytics solutions to assist our Clients across the value chain. Here we describe the types of business issues faced by our Clients and the solutions EVS provides to help address these issues. Each of these Data Analytics solutions is customised to address the unique business requirements of our Clients.
We have experience of working with Clients across diverse business verticals, such as Banking, Finance and Insurance Services, Telecom, Pharmaceuticals, Life Sciences, Manufacturing, Automotive, Logistics, Consultancy and Capital Management.
Data Analytics Value Addition for Clients
- Decision Makers: As a CEO or CFO, you are looking at cost savings, operational efficiency, dashboards/KPIs, vanity of outsourcing and flexibility. Our Data Analytics department will help you in saving costs by providing you with high-quality solutions, flexible working models and state-of-the art data security.
- Data Analytics Users: As a Business Unit Head, Business Development & Strategy or Vertical manager, you are looking at information that you do not have budget or capabilities to get today, saving costs, dashboards/KPIs and field expertise. Our Data Analytics department will help you with an access to vertical expertise, continuous availability of reliable data and shorter turnaround times.
- Data Analytics producer: As part of a Research and Analytics department, you need resources for and help with bandwidth/grunt work, cross-industry inspiration and best practices. Our Data Analytics department will help you in the automation of data cleansing, processing and recurring reporting. Moreover, you can outsource your grunt work to offshore teams.
- Consultant: As a Consultant providing decision support for CRM, Marketing and Operations, you are looking at cost and time savings, highly flexible support teams, lateral ideas and diverse techniques for analysis. Our Data Analytics department will provide you with a highly flexible support team and will increase diversity in your analysis techniques and absorb peak loads.
Benefits from Offshoring Data Analytics
Do you usually get higher budget allocations when requirements in your team grow? Have you tried to hire and retain a PhD in Statistics? Have you ever brought in a consultant for a one-off assignment—only to realize that the team left with most of the generated knowledge? Have you ever got stuck with inane and repetitive tasks because someone’s got to do it?
Our Data Analytics capabilities will provide you with a better decision support from your data for same or less budget, with a flexible access to skilled resources at a very interesting cost. You will benefit from ongoing support from resources that know your business and get more bandwidth for your teams to focus on higher value-add activities and develop your business.
From Data Acquisition and Cleansing to Data Modeling, our Data Analytics department gives you the best value-add for maximum benefit:
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Data Acquisition and Cleansing:We reduce waste by improving data quality and improve data value by acquiring and integrating internal/external data. It reduces your direct cost of data decay and maintenance, and reduces alternate costs of lost/misdirected client communication/targeting.
- Data Processing: We reduce in-house low-level work and IT infrastructure costs, and improve efficiency and quality in the reporting process. Therefore, the information is turned into an actionable operational decision support and your Internal Research and Analysis resources can focus on strategic work.
- Data Modelling: We produce new insights with existing/new data assets and flexible cutting-edge statistical and modelling expertise. As a result, you can keep a more important budget for vital evaluation of existing and potential business.
Data Analytics Competence Spectrum
From Pricing, Risk, Cross-selling, Retention, Time-to-Market, Ad Efficiency and Campaign Management to Acquisition and Growth, and Web Analytics, our Data Analytics capabilities cover a number of possible analyses, using different programming tools and software such as SAS, SPSS, Excel, SQL, Matlab and Siebel. The following is a sample of the techniques used for various types of analysis.
- Link Analysis
- Multivariate, Linear, Ordinal and Multinomial Regression
- Conjoint Analysis
- Logistic Regression
- Factor Analysis
- Survival Analysis
- Decision Trees
- Clustering
- Bayesian Analysis
- Neural Networks
- Kohonen Maps
- Simulation Techniques
- Discriminant Analysis
- Time Series Analysis
- Vendor Performance Management Tool
- Sales and Retail Dashboards
- Contact Search Tool
- Launch Performance Tracking Tool
- Market Basket Analysis
- Econometric Forecasting
- Cycle Research for Technical Analysis
- Reporting and Analysis
- Optimising Cash and Accounts Payable Management
To learn out more about our company and the specific solutions we provide in Data Analytics, please contact your local EVS Client Executive.
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