Data Science & Advanced Analytics

Overview

Today’s businesses are bound to face multiple, concurrent challenges and threats like increased competition, rising customer expectations, globalization, edge cutting regulations, defied consumer loyalty and rapid evolving technologies. In this, highly cluttered business environment the competitive edge of Datamatics is our ability to know more and instantaneously through systematic scientific knowledge discovery using data and also the prowess to act on the problem with the acquired knowledge combined with our vast experience.

Our Services

Customer Insights Analytics

Most of today’s organizations are shifting their focus from product centric view to customer centric view. Datamatics focuses on assisting to understand client’s customers first in terms of their life-stage, tastes, need, aspirations, beliefs, their current product experience, satisfaction level and finally their future potential to stay with business and contribute to profit. A typical Customer Life Cycle involves,
 
Customer Acquisition
Focus on quality of prospect, future potential profit using Acquisition and Profile models through predictive analytics. Based on potential Differential relationship strategies are devised.
 

Product Activation
Focus on first time product usage, tracking customer experience by applying Activation and profile models. Increases active customer base.
 

Customer Enhancement
Focus on increasing customer profitability, product holding by use of Consumption increase model. Kick off new Cross-sale, Up-sale programs by utilizing Cross-sale, Affinity and Proximity models.
 

Customer Retention
Focus on retaining good customers through persistent and customer attrition models. Involves proactive customer retention and win-back programs.
 

Customer Lifetime Value
Focus on long term profitability. Strategically exerts value build-up programs, brand building majorly by use of propensity, financial modelling and customer segmentation.

Marketing Analytics

To achieve sustainable competitive advantage and consistent growth of revenue and profit companies should have better Marketing strategies than their competitors. Datamatics takes sophisticated approach to marketing analytics that captures all key drivers of performances. Marketing Analytics services comprise,
 
Product Analytics
Focus on product quality using Consumption, Affinity and Proximity models. Product innovation to induct new technological breakthroughs. User experience enhancement based on usage pattern and product usage simulation.
 

Price Analytics
Focus on price sensitivity by utilizing Price Sensitivity Analysis. Price evaluation science to estimate price-change triggers based on consumer responses through Price effectiveness models and Price optimization.
 

Promotion Analytics
Focus on demand generation, stimulation, creating favorable environment to impact brand perception using Market simulation studies.
 

Channel Analytics
Reduction in sales logistics cost and Increase in market coverage using customer feedback and Channel identification models.
 

Marketing Mix Modelling
Focus to increase sales volumes, ROI on marketing spends by manipulating Scenario Built up, Marketing simulation and input optimization.

Sales Analytics

Datamatics unifies all sales, revenue, customer, forecast and pipeline data into a single trusted view, and arrives at right sale decisions faster with more confidence. Utilizing Analytics in key areas across sales process helps to make the fact based decisions swifter. Datamatics factually predicts revenue by using the data, customer’s digital body language and the performance scores of sales team based on likelihood to close the deal. Datamatics channelizes Sales Analytics as follows
 
Sales Planning & Forecasting
Focus on accurate forecast and streamlined production processes by analyzing past sales volumes. Manages cash flow and creates sales quota.
 

Sales Force Analytics
Focus to manage territories and improve existing skilled force, technology to compete efficiently in market.
 

Sales Process Analytics
Focus to provide better customer experience by resolving loopholes in sales cycle. Reduces lead time and logistics costs.

Supply Chain Analytics

Companies as always are looking for competitive advantage to scale their operations, prospects and remain profitable by leveraging the information at their disposal with the help of analytics. Datamatics leverages the existing supply chain data from ERP systems to provide operational efficiency by enabling data-driven decisions at both the strategic and operational levels. Datamatics’ expertise thrives to achieve end to end optimization of resources and processes using Root Cause Analysis which covers the entire value chain from sourcing, manufacturing, distribution to logistics.
 
Product Life-Cycle Planning
Focus on accurate demand forecasting and revisions at launch phase; planning of finished goods/raw material inventory with budget optimization and stock level recommendations at replenish phase; focus on markdown strategy at markdown phase.
 

Assortment Planning
Effective assortment planning involves Shelf-space optimization, vendor classification, product dimension etc. Maximization of market share and profit can be achieved by optimal balance of product mix using in-depth Analytics.
 

Store Level Execution
Focus on understanding of customer’s needs and their buying habits. Refilling decision of stock based on studying the purchasing pattern of the local customers using Predictive Analytics. Product bundling strategy based on the clusters of products purchased by the local customers.
 

Logistics, Procurement & Network Planning
Broadly encompasses reduction/optimization of delivery time, costs (procurement, freight) and inventory network by utilizing the analytical techniques like path optimization, pattern matching, risk estimation and deviation analysis. Unique scoring model is developed to gauge the reliability, quality and cost of its supplier.

Risk Analytics

The forces that might push a company’s financial performance below expectations can be termed as Risk. In Risk management right response is to strike a balance that protects company from financial distress while allowing space for entrepreneurship. Datamatics leverages Analytics adroitness to provide Risk management services/solutions in a way where company is happy with the level of risk adjusted returns. Major risks involved are as follows
 
Market Risk
Market price movement such as value of securities, exchange rates, interest rates, commodity prices, equity etc. are accountable as Market risk. Techniques like Value at Risk (VaR) are used to devise the amount of risk and ROI.
 

Credit Risk
Credit scoring is the set of decision models and their underlying techniques that aid lenders in the granting of consumer credit. Customer management decisions are boosted by use of Behavioral, Collection and Application scorecards. Authenticity of customer/applications can be verified by using fraud analysis.
 

Operational Risk
Focuses on how things are accomplished and their resultant consequences within an industry. Business volatility is directly proportional to the level of operational risk. Risk map, predictive analytics are effective mediums to determine, tackle production and markdown risks.
 

Strategic Risk
Formulating strategic risk is a vital task due to its impact on the investment decisions of a company. Analytics helps the business unit managers to align their strategy with the corporate strategy. Predictive Analytics can be exploited to visualize strategic risk.   

Human Resource Analytics

In the current dynamic business environment organizations are finding it increasingly harder to recruit and retain good talent. Datamatics focuses on measuring and understanding an employee’s performance irrespective of the factors that influences employee’s productivity. Core pillars of HR analytics are,
 
Talent Acquisition & Learning Programs
Focus on scalable, cost effective and efficient analytics led recruitment processes by identifying specific talent/skillset that will fulfill current as well as future organizational needs. Creation of steep learning curves and enablement for right candidates using analytical insights.
 

Workforce Attrition Risk Management & Demand Forecasting
Incorporating risk mitigation tactics to control employee attrition through analytical insights thereby keeping organizational purpose intact. Anticipating workforce demand in order to meet talent requirements across the organization by use of adaptive intelligence.
 

Incentive Optimization & Lifetime Value Analysis
Extensive use of analytical tools in the process of strategic planning to identify specific profile/talent, realizing their needs in terms of required skillsets in order to develop them for specific organizational goal and accordingly incentivizing them for better future.
 

Employee Retention Analytics
Effective use of analytics in the reduction of potential attrition through identification of hidden patterns that causes voluntary termination. Develops insights to offer appropriate incentives to desired employees by motivating them for longer time.