Research Objective

• A retail owner needed to understand issues related to inventory, order times, costs, and logistics to identify service gaps and improve stores over time.

Scope & Methodology

• Using survey data, various store attributes were tracked over time. Data analytics were used to identify gaps and barriers related to price, quality, and demand which impacted sales.

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Value Delivered

• The client was able to monitor drivers and barriers over time so they could make appropriate changes to their business and improve sales and service.

Learn more from our case studies

• Building a Strategic Business Plan Grounded in Industry Data – A pharmaceutical data analytics case study
• Communicating More Effectively with Insurance Customers | A bulletin board case study
• Creating a Beverage Launch Strategy in a Competitive Market – A beverage desk research case study

Research Objective

• A company needed to gain a better understanding of perceptions of their hiring processes. They had a large set of unstructured data from more than 400 participants and needed to categorize that data by sentiment and theme in order to be actionable.

Scope & Methodology

• The qualitative feedback was reviewed in order to identify categories
• Tags and code frames were built and approved by the client
• A reporting layout was designed with multiple data splits and cumulative attributes
• Key themes and areas for improvement in hiring practices were identified
• Recommendations to improve critical activities in the hiring value chain were made

Value Delivered

• The client gained a clear understanding of the key issues associated with their hiring process and was able to identify strengths to retain and weaknesses to improve.

Learn more from our case studies

• Sentiment and Content Analysis of Qualitative Consumer Comments – A food survey + text analysis case study
• Understanding Teenage Needs, Lifestyles, and Communication | An online community case study
• Understanding Patient Preferences to Inform Differentiation Strategy – A medical device patient survey case study

Research Objective

• A global IT consulting and services company needed to identify the stage at which organizations have adopted or are ready to adopt Blockchain technology, a decentralized and highly-encrypted computing platform that is likely to have important privacy and security implications.
• They were interested in organizations across 5 industry sectors and in more than 15 countries.

Scope & Methodology

• ~3000 online surveys were completed by participants who met the target criteria
  • Employment titles were manager or above
  • Employed at a healthcare, retail, banking / financial services / insurance, or manufacturing company
  • Companies generated revenue of $1 Billion or more
• A rich B2B database, including industry, designation, and demographic variables, was built which can be maintained over many years

Value Delivered

• The client can now evaluate readiness for blockchain adoption by a variety of key industry, employment, and demographic variables.

Check out other BFSI case studies

• Automating Distribution of BFSI Performance Metrics – A BFSI automated reporting case study
• Creating a Financial Portfolio Health Review Report – A credit card business analytics case study
• Customer Behavioral Segmentation to Support Targeted Marketing – A BFSI data analytics case study

Research Objective

• A US-based manufacturer of personalized gift items with markets in more than 10 countries across North America, Europe and Middle East needed SKU-level demand forecasting to ensure all orders are met while maintaining optimal inventories.
• Over 3000 SKUs across 8 product platforms with a 3-month lead time needed to be tracked.

Scope & Methodology

• A framework was developed to accommodate weekly re-forecasts based on SKU-level actuals-to-date for repeat customers, varied product platforms, new products, etc.
• It was designed to learn from historical trends and project future demand.
• A weekly ‘Early Warning System’ to predict excess and stock-outs was also built.

Value Delivered

• The forecasting tool helped reduce obsolete inventory at the end of the year which freed up working capital and reduced waste.
• It also reduced ‘out-of-stock’ rates leading to increased customer satisfaction and revenue, in part due to preventing unnecessary attrition.

Check out other case studies

• Fine Tuning New Personal Care Products with JAR Analysis – A sensory IHUT case study
• Modeling a Consumer Response Hierarchy to Guide Brand Strategy – A personal care survey analytics case study

Research Objective

• The client had limited information about consumer price responsiveness and the extent of competitor price fluctuations. They needed to predict:
  • Gain/loss in volume share based on price movements in the category.
  • Optimized prices to achieve targeted volume share in the event of competitor price actions.

Scope & Methodology

• The project included building a predictive model to understand interactions among client’s and competitors’ price elasticity. It identified price gaps/thresholds which could result in significant share changes.
• Further, we created a simulator to help identify optimum price bands to operate in given the competitors’ price changes.

Value Delivered

• We proactively identified the maximum price threshold to respond to a List Price Increase
• The tool was extensively used to identify best price strategies in the dynamically changing market.
• The client was able to maintain an optimum price differential against fluctuating competitor pricing.

Check out other related case studies

• Increasing Customer Acceptance For Controversial Pet Food Format – A survey case study
• Improving Sales by Understanding Pain Points of Sales Reps – A home appliance survey case study
• Evaluating the Effectiveness of a Campaign with Brand and Message Recall – A consumer media survey case study

Research Objective

• A senior management team at a financial company needed a high-level, portfolio health review report to draw valuable high level insights, and identify unusual trends over time for their credit card portfolio.

Scope & Methodology

• The client made a range of business intelligence data available including:
  • Account level financial information
  • Credit bureau data for risk profile of accounts
  • Transactional account data

Value Delivered

• The data helped the client better understand historical and future trends related to consumers’ financial behaviors. They were better able to understand where their potential risks were.

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Check out other BFSI case studies

• Automating Distribution of BFSI Performance Metrics – A BFSI automated reporting case study
• Customer Behavioral Segmentation to Support Targeted Marketing – A BFSI data analytics case study
• Removing Customer Barriers to Auto Insurance Renewals – An insurance survey case study

Research Objective

• An asset management firm with a large customer base needed to be more competitive to increase their share of customers with investible assets.
• They needed to better understand their current and potential customers and their behavior so as to grow their business and prevent attrition.

Scope & Methodology

• A comprehensive, meta-analytics solution integrating insights from segmentation data, Habits & Practices data & brand equity data was conducted.
• Key need-states for a variety of consumer segments were identified and brands were overlaid in the market to identify white-space potential.

Value Delivered

• Growing white-space opportunities were identified that showed the brand had potential to stretch their equity and address evolving consumer needs.

Check out other BFSI case studies

• Automating Distribution of BFSI Performance Metrics – A BFSI automated reporting case study
• Creating a Financial Portfolio Health Review Report – A credit card business analytics case study
• Removing Customer Barriers to Auto Insurance Renewals – An insurance survey case study

Research Objective

• A global OTC company wished to ground the annual strategic plan for all of their product categories in data drawn from category performance across all markets.
• They needed to identify category growth prospects among top performing markets, ingredients, & brands and map their brands accordingly.

Scope & Methodology

• We processed historic and forecasted data from reputable third parties for about 70 markets by category, sub-category, ingredients, brands, & companies, and adjusted sales based on latest mergers and acquisitions.
• We conducted a root cause analysis to identify top growth prospects and a SWOT analysis to map client’s brands onto this.

Value Delivered

• The client was able to build a more targeted and strategic annual global plan encompassing all categories and brands that would be more competitive in the current and future market.

Check out other healthcare case studies

• Understanding Relative Importance of Healthcare Imaging Features for New Product Development – A survey + MaxDiff case study
• Stretching Brand Equity into White Spaces Using Data Fusion – A pharmaceutical data analytics case study

Research Objective

• An FMCG client needed to assess the operations and revenue effectiveness across their company. They needed to evaluate their key performance indicators and understand their organizational maturity.

Scope & Methodology

• An online questionnaire was launched to 500 business leaders to measure the KPIs and derive the stages of organizational maturity.
• The analysis showed that about 72% of leaders expressed some governance and control of global operation while 42% described some local office independence. 30% are strongly controlled at headquarters with no local independence.
• For operational maturity, about 80% showed high levels of maturity by deploying technology, extensive automation, dedicated roles in operations, and using AI in delivering services. Top success criteria included: Improved brand/customer engagement, staff efficiency, and agility. The success criteria “improved brand/customer engagement” is considered most important for content strategy.

Value Delivered

• The client was able to better understand their operational effectiveness as well as their organizational maturity. As a result of the research, they identified operational areas needing improvement.

Check out other retail case studies

• Optimizing Trade Promotion Spends with a Pricing Simulator – A food business analytics and price simulator case study
• Consumer Perceptions Towards Online Ordering – A retail survey + desk research case study
• Launching a Fast Food Franchise In A Competitive Market – A retail survey + competitive analysis case study

Research Objective

• A leading bank in the USA needed real-time reporting to enable pro-active, strategic business decisions for a range of audiences in their credit card portfolio.
• The original reporting process resulted in more than 200 pages of metrics and charts, a time-consuming and highly detailed, error prone task for analysts.

Scope & Methodology

• A process that incorporated real-time automation and that used existing software was designed.
• With a combination of routines and systems, the manual report generation process was converted almost entirely to an automated process.

Value Delivered

• The client did not need to make incremental investments in tools. More importantly, the time required by analysts to create quarterly reports was reduced by more than 95%.

Check out other BFSI case studies

• Creating a Financial Portfolio Health Review Report – A credit card business analytics case study
• Customer Behavioral Segmentation to Support Targeted Marketing – A BFSI data analytics case study
• Removing Customer Barriers to Auto Insurance Renewals – An insurance survey case study