Data integration for data residing in siloes:
Integrates data from across the enterprise (structured, unstructured, external, internal, online data, etc.)
OVERVIEW
With more and more businesses moving towards accurate and accelerated decision-making, Insights-as-a-Service has become a priority for virtually every type of industry. Analytics empowers businesses of every kind to be more productive and agile in delivering value by supporting smarter decisions. However, organizations that deploy analytics typically face challenges around data acquisition and usage, the time taken to derive insights, high infrastructure costs, and low availability of skilled resources.
Wipro’s Data Discovery Platform (DDP), with its industry-specific apps, covers the entire spectrum from data to information to insights, empowering customers with relevant insights to make faster, better decisions.
BRIDGING INSIGHTS GAP
Our DDP platform enables businesses to gain valuable analytical insights, and further bridge the insights gap with value-added process simplification and business transformation services. Leveraging techniques such as visual sciences and storytelling with data, DDP drives insight-driven decision making and accelerates time to market.
The comprehensive solution addresses challenges faced by global enterprises, from early adopters and established practitioners to those that are just starting off with analytics.
Faster time to insights:
Uses agile methodology to operationalize insights in the quickest possible time
Cost reduction:
- Minimum CAPEX involved as it uses an OPEX model
- Proven industry-specific apps deliver insights for specific business problems
- Pay per use option enables rich insights at the lowest cost
Self-service capability:
Self-funded model—the benefits derived from the implementation cover its cost
Infrastructure readiness to begin the analytics journey:
Comes with ready-to-use cloud infrastructure
Scalability:
Provides the ability to linearly scale up on demand with a high performance to cost ratio
Use case repository:
Leverages app store model to provide users with flexible, ready to use apps relevant to their business
Single view of data:
Ensures role-based access to business teams for a consistent view of data
High availability:
Enables a high-availability system architecture with continuous monitoring for round the clock availability
DDP helps overcome a host of business challenges through:
SOLUTIONS
Relevant and actionable insights are imperative to making faster, more informed decisions. However, organizations across industries face the challenge of bridging the gap between business needs and available information. Businesses grapple with the inability of traditional systems to provide the contextual insights needed to differentiate and drive the business in a hyper-competitive, digitally driven world.
Wipro’s DDP is an integrated solution that generates pertinent insights for business through advanced analytics to enable faster decision-making. DDP operationalizes insights in the quickest possible time. It comes with prebuilt industry data models, data ingestion tools, data transformation queries, model repositories and visualizations to speed up time to insights. The solution provides analytics-as-a-service in an app-based ecosystem, built around common use cases across various industry sectors. DDP apps offer solutions to business use cases across verticals such as healthcare, retail, banking, insurance, and others.
Key benefits of DDP:
- Provides insights around customers’ switching patterns to enhance customer loyalty (enabled by a customer attrition app)
- Leverages existing customers for revenue growth through market basket analysis
- Prevents asset downtime and improves performance through predictive asset maintenance solutions
- Protects a brand’s online reputation with reputation management solutions
DDP, with its industry-specific apps, covers the entire spectrum from data to information and insights, and empowers customers with actionable insights to make faster decisions. Built using best-of-breed open source technologies, the solution leverages cognitive capabilities from Wipro’s HOLMES Artificial Intelligence Platform™ to reveal hidden insights in large and diverse data sets.
APPROACH
BUSINESS OUTCOME
Which stores should product X be rolled out in?
- How the product performed in stores where it was launched vs. control stores?
- What are the stores where it performed better than the benchmark?
- What characteristics of the stores and its catchment area that drives the sales of Brand X?
- What are the candidate stores that have similar characteristics compared to the high performing stores?
STORY TELLING
How to present a convincing business narrative?
- Provide the business perspective - User oriented
- Ensure data narrative flow
- Emphasize the challenge
- De-clutter distracting data
- Include standout KPI’s
ALGORITHMS
What algorithms are required?
- Test / Control segmentation
- ANCOVA
- Outlier / Anomaly detection
- Univariate / Multivariate correlation analysis
- Linear / Log-linear regression / Decision tree
KPIs
What KPIs need to be measured?
- Total sales
- Households bought
- Units sold
- Average Unit Price
- Associated sales
- Store catchment areas demographics
- Store catchment competition
- Store catchment institutions
- Brands
- Promotion period / Type
DATA
What data is required?
- Stores details
- Catchment area demographics
- Brand sales information in stores
- Promotion & other marketing Information
- Complementary and substitute brand sales
INDUSTRY-SPECIFIC APPS
Wipro helps its customers do business better by leveraging industry wide experience, deep technology expertise, a comprehensive portfolio of services, and a vertically aligned business model.
INSURANCE
BANKING
RETAIL
CONSUMER,
GOVERNMENT & TRANSPORTATION
ENERGY & UTILITIES
HEALTHCARE
MANUFACTURING
OTHER-SOLUTIONS
SOCIAL-ANALYTICS
Silent Attrition
Identifies key factors impacting silent attrition or dormancy in a credit card portfolio. Therefore helps in predicting the propensity of silent churn at customer level across segments.
Distance to Churn
The 'app' identifies customer’s expected time of churn in an open-ended timeline. It helps banks develop a retention strategy with a longer foresight and also advises businesses when to act proactively to retain customers. This also helps in calculating LTV.
Insurance Subrogation
Analyzes and predicts if any insurance claim will be entitled to subrogation. Subrogation allows an insurer to pursue a third party that caused an insurance loss to the insured.
Customer Attrition
Identifies dominant factors impacting customer attrition from superannuation, demographics, life segment, risk profile, product holding profile, and sales channels data. Predicts the propensity to churn based on these parameters.
Customer Segmentation
Divides banking customers into homogeneous groups, based on demographics, interests, and transaction or spending habits. Targets the identified groups with distinct marketing offers.
Campaign Response Model
Identifies customers who are more likely to respond to a product offering, an important prerequisite for direct marketing. Using historical campaign results and customer data, the solution predicts the probability that a customer (existing or new) is likely to respond to a promotion or an offer, and thus enhances ROI from any campaign.
Revenue Forecasting Model
Enables sales volume/value forecasting, a process in which a bank tries to predict business from all of its customers. The forecast is produced for a particular period of time in the near future, usually the next fiscal year, enabling a bank to make informed business decisions.
Revenue Driver Model
Leverages the revenue prediction model to identify key factors including customer demographics, behavior, transaction, and billing and payment data that influence future revenues. It helps banks with business planning and identifies key growth areas to focus on.
Passenger Experience Analytics
Collects, scrubs and classifies free-form text feedback received from air passengers using a classification taxonomy organized into four hierarchical levels to derive actionable insights based on positive or negative feedback.
Student Retention
Derives historical student attrition insights based on retention trends, positive and negative influence factors and cost analysis.
Residential Consumption Forecasting
The 'app' designed for energy providing companies allows a company to profile its customers based on their predicted consumption pattern for advanced and efficient energy consumption planning. It covers the complete customer journey from onboarding to consumption in order to forecast and monitor patterns.
Solar Generation Forecasting
The ‘app’ involves knowledge of the sun’s path, the atmospheric conditions and the characteristics of a solar energy plant which utilizes the sun’s energy to create solar power that is subsequently transformed to electric power. It thus predicts the solar power generation and forecasts the load for the next 24 hours.
Customer Consumption Behavioral Segmentation
This ‘app’ relies on identifying key differentiators that divide customers into different groups of individuals who are similar in specific ways relevant to marketing.
Monthly Revenue Projection
The ‘app’ aims at calculating short term energy demand to predict the day-wise electrical energy usage till the next billing date and corresponding potential revenue at the overall business level. The ‘app’ assists energy producers negotiate contracts with financial entities or utilities that distribute generated energy.
Mining Productivity Analysis:
The ‘app’ helps identify significant factors in mining processes that cause productivity loss and low throughput. It provides direction to influence the significant drivers to improve productivity. This helps in diagnosis and analysis of constraints and deviations, improved operational performance and efficient utilization of mining machines.
Situational Awareness:
Situational Awareness, the ‘app’, for water utility industry has been developed to help a company to improve its customer service, operational effectiveness and environmental performance. It provides a single screen view to recognize, visualize and act on events by drawing intelligent conclusions for the incident on how they relate to each other.
Leakage Analysis:
It involves determining the level of leakage within a defined area of the water network. Water flow is periodically analyzed in order to monitor the levels of leakage [specially night leakages] and high consumption locations within a defined area of the water network.
Treatment Plant Optimization
Wipro Treatment Plant optimization ‘app’ offers a holistic 360 view of operations. It enables efficiency gains across sites, predicts and prevents water and air pollution incidents, enhances field productivity, optimizes site processes and chemicals usage, predicts faults within the treatment plant by leveraging suitable Artificial Intelligence (AI) predictive models, big data exploratory and analytics platform to correlate IT and OT data.
Parasitic Event Detection
Helps save high-valued critical assets from unprecedented, catastrophic damage by detecting occurrence of predefined events (anomaly) from real-time sensor feeds to multiple sources.
Knowing Customer Archetype
Understand different characteristics of customers and classify them into actionable number of customer archetypes. In addition, identifies drivers that influence overall customer satisfaction.
Energy Trading Surveillance
Facilitates anomaly detection, fraud prediction, and predictions on the profitability of energy trading transactions.
Mining Risk Assessment
Analyzes risks associated with mines and plants related to assets, competency and environmental impact.
Predictive Asset Maintenance
Measures individual asset health scores for all sites and accurately predicts the timeline for recommended actions to prevent unexpected failure or unscheduled downtime of assets.
Survival Model For Asset Failure Prediction
The ‘app’ helps predict the expected time till failure in drilling assets. Also, helps identify the possible reasons for failure thereby increasing the run-life while reducing cost.
Sequence Model For Asset Failure
The ‘app’ helps identify machines that are highly probable to fail along with the path to failure. This helps to significantly reduce the processing lead time, optimize cost of service and increase productivity.
Conductor Failure Analysis
The ‘app’ aims at proactively maintaining and preventing unplanned downtime of electrical conductors. It helps ascertain the exact root causes for conductor failure and increase operational efficiency.
Marketing Mix Model
The ‘app’ quantifies the sales impact of various marketing activities and helps simulate marketing scenarios for ‘what-if’ analysis. This helps the marketing manager re-allocate the marketing budget proportionately to evaluate the direct impact on sales/value.
Work Order Analytics
The ‘app’ provides insights on work order capacity; understand the work performance and job costing for water utilities. Also helps in job forecasting to provide insights on skills needed, resource planning and workforce composition.
Enrolment Propensity Model
The ‘app’ helps understand the customer response to the services offered by a utilities provider and assesses the customers churning out as well as new customers rolling in. The solution helps to better plan and utilize resources to prevent churn, onboard new customers and consistently increase profitability.
Competitive Social Analytics
Enables deep social sentiment analysis of an organization against its peers and competitors. Helps benchmark social sentiment distribution across market segments and relative social response on specific areas.
Adverse Events Detection in Social Data
Detects potential adverse events, resulting out of prescribed pharmaceutical product usage, as indicated in social media.
Fraud Detection
Identifies dominant factor that lead to fraudulent health insurance claims such as provider territory and specialty, impairment type, patient demographics, hospital and treatment details as well as claim details, and prediction of the likelihood of fraud based on these parameters.
Market Basket Analysis - Dental Care
Includes a product affinity solution for dental care products to identify cross-sell and up-sell opportunities based on sales channels, customer demographics, and observed product affinities across categories and brands.
Market Basket Analysis - Medical Devices
Includes a product affinity solution for medical devices to identify cross-sell and up-sell opportunities based on sales channels, customer demographics, and observed product affinities across categories and brands.
PLM Analytics
Product Life Cycle Management Analytics app is developed to focus on different phases of a product’s life cycle and their status in a given time period. The solution seeks to assess various change requests created for different parts in a project. It also incorporates the prediction of change request count for future timelines.
Service Analytics
Performs service management analysis across siloed functions to drive customer satisfaction and cost efficiency, and reduce revenue leakage.
Warranty Claim Analytics
Warranty Analytics leading to next best actions at the business process level. Helps contain rising expenses related to warranty and improve the post-sale customer satisfaction.
Machine Failure Prediction
Prediction of problems to implement preventive measures and maintenance or replacement to sustain performance, avoid downtime and reduce costly damage.
Sales Conversion Prediction
Identifies important influencers impacting software product, machines and accessories sales conversion from pipelines opportunities with the help of information which includes geographic, sales types, business units, sales amount etc.
Speech Analytics - Voice of Customer
Helps analyse, annotate and classify speech recordings containing customer calls, feedback or any other audio recordings. Enriches the output with NLP based sentiment analysis and topic classification.
Financial Forecasting Solution
The Financial Forecasting solution focuses on the financial performance of the top US companies based on their financial statement such as income statement, balance sheet, and cash flow and identifying historical trends. It seeks to assess the financial implications of investments and other business activities and make decisions. It also provides future predictions for revenue and net income for top companies.
Call Drop Analysis
Helps impact customer experience by analyzing call drop distribution in near real-time resulting in better experience and compliance. This in turn combats the problems of attrition and non-compliance with regulations.
Data Operations Performance
Generates real time predictions on batch delays and failures based on data and infrastructure monitoring.
Targeted Campaign for Loyal Customers
Identifies customers who are most likely to respond to an offer, or focus retention activity on those most likely to churn. Thus, help maximize revenue and optimize margin.
Marketing Channel Management
The apps strategically deploy various marketing techniques and various marketing channels to reach a targeted customer base.
Promotion Effectiveness
Helps optimize marketing promotion selections for best performance based on past promotion outcomes.
Customer Segmentation
Identifies most valued customers and develops customer segments based on demographic and behavioral attributes.
Store Performance
Analyzes, benchmarks and identifies influential factors for store performance. It also performs an impact analysis that helps improve the store performance.
Assortment Assist
Determines the key attributes of a product that drives its sales and helps strategize sales of a new product
Market Basket Analysis
Identifies associations between complementary retail product groups and analyzes their effect on product bundling.
Store Analytics
Correlates and delivers analytics based on store wi-fi logs and iBeacon traces from apps to analyze in-store shopper activities..
Social Analytics
Automated social feed monitoring for enterprises and brands to help identify trends in customer sentiments, emotions and responses to marketing events.
