Case Studies Of Market Intelligence

Industries Served: Financial Services | Life Sciences | Hospitality | CPG | Industrials | PE

Case Study - 1

A Fortune 50 Industrial Conglomerate had a need to understand the After-Market pricing for the over 3,000 SKUs it produced and marketed across three regions (EMEA, MEA, Americas). The market had Authorized Distributors, OEMs and generic manufacturers, distributing the products through both online Channels as well as physical Store. The challenge was to create a directory of these distributors, their corresponding distribution channels and the price points.
HDG did primary and secondary research to get pricing information for over 3,000 SKUs. Primary research was conducted via phone calls and emails in cases where the distributors had no online presence or did not offer online pricing.
Secondary research was done by extracting the relevant information such as web sites, contact information and product range from over 300 distributors (Public and Private) websites.
The end product was over 30,000 price points presented in an Excel Spreadsheet. Simple analytics were run to present insights using Tableau®.

Case Study - 2

A market data provider had the need to build a firmographics database for over 82 Industries as a Phase 1 initiative. The data had then to be presented in a format that could be read into their online tool to service their clients.
Using SIC codes, This required researching multiple public data sources for each industry, and identified potential challenges and opportunities facing those industries, as well as their current and potential growth dynamics. The results were then compiled in an Excel Spreadsheet.

Case Study - 3

An industrial conglomerate with a global distribution network had their Master Data corrupted over years of neglect and lack of stringent data management processes. They were facing increasing mis shipments resulting in increased revenue and time losses. The task was to firtly cleanse the data, making it consistent and de duplication.
They had over 58,000 address records in their database and the accuracy of their global suppliers and clients was critical to their business. Using a mix of manual and automated tools, the data was cleansed and normalized in a consistent manner. Missing information such as phone numbers, zip coded was collected through online research. The final deliverable was in an Excel spreadsheet resulting in a reduction of operational costs, simplifying their operations and maintenance.