BIG DATA & BUSINESS ANALYTICS: SMART DECISION MAKING
Faster Yet Accurate Actionable Business Insights To Decision Makers Across Business Functions And Sectors; Leveraging Our Multi-Disciplinary Deep Expertise And Data-To-Decision Framework Powered By Big Data Analytics
With actionable insights based on effective big data analytics solutions emerging as the true competitive advantages for companies across the sectors, ABI Analytics is leveraging its Data-To-Decision framework powered by Big Data Analytics to deliver faster yet accurate insights to decision makers.
ABI Analytics – one of the fastest growing solution providers for Big Data Analytics & Consulting – works with companies across sectors worldwide to design and successfully integrate analytics in their decision-making process. ABI firmly believes that to harness the true potential of Big Data Analytics, companies need to treat data as business asset and leverage it to significantly improve their business performance.
Data-To-Decision Framework Maturity has four distinctive phases and ABI Analytics works with its clients to integrate effective analytics solutions for performance uplift. This includes identifying quick wins in the short term and strategic optimization across business functions in the long term.
DESCRIPTIVE ANALYTICS

WHAT HAS HAPPENED?
Analyse data on past & present performance to understand what is happening and generate insights on actions needed to improve business performance
DIAGNOSTIC ANALYTICS

WHY DID IT HAPPEN?
Analyse data to understand trends on business value drivers and their inter-linkages to generate insights on what exactly are the root cause of business issues
PREDICTIVE ANALYTICS

WHAT MIGHT HAPPEN NEXT?
Leverage combined skills on Big Data, Machine Learning, Analytics and Business Expertise to project future scenarios and insights on what is likely to happen
PRESCRIPTIVE ANALYTICS

WHAT SHOULD BE DONE?
Design the best possible business decision for performance uplift, incorporating predictive analytics, optimization, simulation and decision modelling techniques
ABI Analytics follows a structured approach to deliver measurable business value and implement the Data-To-Decision framework for decision makers across the key business functions.
PRICING ANALYTICS

Leverage Big Data Analytics to Maximize Revenue Generation Capabilities; Generate Actionable Business Insights and An Integrated View Around Key Levers of Revenue Maximization to Optimize and Align Pricing Across the Factors – Product Portfolio, Consumer Segments, Distribution Channels and Promotion
ANALYTICS SOLUTION
Demand Modelling & Forecasting
Price Modelling & Forecasting
Pricing Process Maturity Analytics & Quick Wins
Customer Segmentation Analytics
Price Optimization Analytics
Promotion Optimization Analytics
Pricing Guidance Tool for Sales
CONSUMER ANALYTICS

Leverage Big Data Analytics & Predictive Modelling to Better Understand Your Consumers’ Buying Behavior; Generate Actionable Business Insights to Understand Market Trends and Formulate Strategies That Helps in Effectively Meeting Ever-Evolving Consumers’ Need While Attracting & Retaining High Value Customer Segments
ANALYTICS SOLUTION
Customer Acquisition & Retention Modelling
Customer Life Time Value Modelling
Consumer Behavioral Analytics
Customer Segmentation Analytics
Consumer Engagement Analytics
Cross-Sell & Up-Sell Analytics
360-Degree Customer View
MARKETING ANALYTICS

Leverage Big Data Analytics to Optimize the Allocation of Marketing Resources; Generate Actionable Business Insights About Shifting Consumer Behaviours Across Channels – Traditional & Digital – and Develop a Data-Driven Integrated Marketing Strategy to Drive Efficient Growth for Your Brand & Products Portfolio
ANALYTICS SOLUTION
Marketing ROI Analytics
Marketing Campaign Effectiveness
Social Media Monitoring
Sentiment Analytics
Multi-Channel Market-Mix Modelling
Conversion Modelling
Social Network Analytics
SALES ANALYTICS

Leverage Big Data Analytics to Develop Effective Sales Strategies, Optimize Sales Efforts Across Channels and Maximize Sales Team’s Performance Efficiently & Effectively; Generate Actionable Business Insights About Key Levers of Sales Funnel Management & Incentivization, While Enhancing Customers’ Omni-channel Experience
ANALYTICS SOLUTION
Market Potential Planning
Sales Forecasting
Prospecting & Leads Generation
Channel Mix Optimization
Sales Force & Cost Optimization
Performance & Incentive Optimization
OPERATION & SUPPLY ANALYTICS

Leverage Big Data Analytics to Significantly Improve Efficiencies of Business Operations and Supply Chain to Boost Margins; Generate Actionable Business Insights About Key Levers of Cost Optimization for Efficient Resources Planning and Demand-Supply Alignment Across Sourcing, Production Processes And Sales
ANALYTICS SOLUTION
Demand Analytics & Forecasting
Inventory Analytics & Management
Vendor Management
Spend Analytics
Network/Capacity – Scheduling & Optimization
Business Intelligence Dashboards
HR ANALYTICS

Leverage Big Data Analytics to Significantly Improve Organizational Effectiveness in Managing Human Capital; Generate Actionable Business Insights About Effective Workforce Planning, Talent Acquisitions and Talent Management – While Continuously Improving Employee Satisfaction & Organizational Capabilities
ANALYTICS SOLUTION
Recruitment Analytics
Workforce Productivity Analytics
Employee Attrition Analytics
Compensation Analytics
Employee Satisfaction Analytics
Learning & Development Analytics
DEEP EXPERIENCE…
100+ assignments on designing & implementing Data-To-Decision Framework based on Big Data, Business Analytics & Business Intelligence solutions across sectors, functional areas and geographies
Sectors: Banking & Financial Institutions | Energy & Power | Healthcare | Insurance | Manufacturing | Media & Entertainment | Retail & Consumer | Telecommunication | Government | Sports
Functional Areas: Pricing & Revenue Optimization | Consumer Analytics | Marketing Analytics & Optimization | Sales Analytics & Optimization | Operations Analytics & Optimization | Supply Chain Analytics & Optimization | Governance & Risks Analytics | HR Analytics
Region: 40+ countries across North America, Europe, Asia-Pacific, the Middle East, Africa, Indian Sub-Continent
PROFESSIONAL EXPERTISE…
100+ years of combined data engineering, data science and business analytics experience with deep expertise and knowledge of generating actionable business insights for decision makers
Team: 15 Big Data & Business Analytics professionals with top 5-principals each having more than 10 years of experience; team supported by 30+ sector experts
Qualification: Data Scientist | MS Statistics | MBA | MS – Computer Science
Experience: Corporate Strategy | Business Consulting | Investment Bank | Private Equity
COMPLEMENTARY CAPABILITIES…
Our ability to leverage experienced professionals from various domain to quickly understand sector / geography specific business drivers and performance nuances is an added advantage
Sector Experts: 30+ sector experts with 10+ years of average domain experience
Technology Experts: 10+ technology / intellectual property experts to help understand nuances of technology and their commercialization potential
Market Research: Internal Knowledge Base of 100+ market research to quickly understand drivers for business performance & value uplift
Database: Internal Database on “guideline public companies” across geographies and growth curve, with their operational and valuation multiples, that helps quickly understand factors impacting valuation
DEDICATED ANALYST…

Model: Analyst(s) works exclusively for a client as an extension of their internal team.
Works For: Client with regular research needs looking for stability in the team and the most cost-effective engagement.
Benefits: Same analyst (s) works with the client with steep learning curve and gains in efficiency as added benefits l The client has complete control over the selected analyst(s) work priorities and allocation
How It Works:
1. The client sends work profile and specific capabilities required
2. ABI shortlists analysts and organizes interview for analysts with the client
3. The client selects analyst(s) and gives a formal go-ahead with agreed upon monthly fees to be paid to ABI
4. The selected analyst(s) starts working with client from agreed upon date
5. Assigned Project Manager – a senior professional – provides local supervision and organizes training etc. for continuous growth of the analyst
6. The analyst, if needed, can work on remote desktop (VPN access) to ensure that data is not leaving the client’s network
PROJECT BASED…

Model: Analyst(s) works for the limited duration of a project.
Works For: Standalone project or short-term assignment or short-term ramp up in required research capabilities
Benefits: Client has access to specialists to meet the specific work requirements l For example, for marketing analytics & predictive modelling the team will have a data scientist, a marketing expert and a technology expert
How It Works:
1. The client sends specific project requirements
2. ABI prepares an in-depth proposal document outlining the scope of the work, solution framework, team profile, key interim and final deliverable, engagement & communication governance, related timelines and commercials
3. Through mutual discussion the proposal and interim/final deliverables are finalized
4. ABI team works on the project and follows agreed upon proposal and governance framework
5. A call is scheduled after each interim deliverable to update the client on progress, get the feedback and agree on next steps
6. After approval on the final deliverable by the client, analysts are staffed on other projects
BLOCK OF HOURS…

Model: The client purchases a fixed number of research hours to meet their research needs
Works For: Clients with regular but variable work-flow and variety of work that requires varied capabilities
Benefits: Provides the “best-of-both-world” – on-demand research support as in “dedicated-analyst” engagement yet not restricted to capabilities of one particular analyst as in “project-based-engagement” l No need for individual project approval from the vendor management team
How It Works:
1. The client and ABI agree on number of hours of research that the client would require in a fixed time-frame (e.g. 200 hours in a quarter)
2. The client and ABI also agree on the broad nature of research requirements and the skills / capabilities of analysts to be staffed on the client’s project
3. For each research requirements, the client team sends the scope of work and the ABI team prepares the solution framework, key interim and final deliverable and the required timeline
4. ABI team delivers the project as per the agreed framework and timeline
5. Regular engagement governance calls to ensure ABI team is aligned with client’s needs
CASE STUDY 1
DEMAND FORECASTING & PRICE OPTIMIZATION FOR MAXIMIZING PROFITABILITY
THE CLIENT
An e-commerce company in India wanted to leverage big data analytics solutions to predict demand for products and optimize its pricing decisions with an objective to maximize profit potential
BUSINESS CHALLENEGE / SCOPE OF WORK
The client wanted to have an optimization and predictive modelling tool to able to price its products competitively. While the client had wealth of information and data, it was fragmented across multiple platforms and formats.
The scope of work included development of Big Data Analytics & Business Intelligence Platform to generate:
- Actionable Insights on consumer, demand and pricing patterns to be able to predict demand
- Simulation model to understand price & volume variance – elasticity – for multi-product price optimization decisions
ABI SOLUTION FRAMEWORK
ABI adopted a multi-pronged approach to design and implement analytics solution for the client:
- Designating Analytics Platform: ABI’s data engineers built an analytics-ready data platform. This platform has capabilities to collect, validate and cleanse data across various time periods, multiple sources and formats. Automated tools for running analytics, predictive modelling, simulation, optimization and decision modelling were integral part of this platform.
- Revenue & Customer Analytics: ABI team decomposed revenue streams into price and volume across products. geography, payment type, frequency, demand penetration etc. The team applied business logics at “atomic” levels to understand pricing and volume dispersion across multiple business scenarios
- Business Intelligence Tool: ABI team developed simulation & optimization tools for the team to improve planning and allocate marketing resources efficiently. The in-built price volume elasticity benchmarks – both for the company’s historical prices and market competitive prices – enable better pricing decisions.
ENGAGEMENT BENEFITS
- The client now has a Data-To-Decision tool that helps in identifying pricing efficiency / inefficiency and helps in re-pricing decisions on a real time basis
- The client can evaluate price elasticity and dispersion across products and customer segments and potential to re-price
- The client can use the customer segmentation, buying behavior and price points etc. to design marketing initiatives for cross-sell and up-sell
- The client improved its margins by 4-percentage points in six months just on the basis of pricing optimization