A major hedge fund was managing a program for gathering publicly available data. This data was used to guide investments in an industrial category with many active public companies. As the volume of this alternative data grew, their existing technology and processes were taken to the limit. Processing times were becoming unacceptable.
Analytix Studio assisted the hedge fund's analyst with migrating to a new analytical platform and automating previously manual processes.
Daily maintenance effort was reduced and scaling limitations were overcome. The end result was a substantial reduction in cycle time, eliminating delays in putting information in the hands of the fund’s investment professionals.
A global construction company needed help in blending and reporting the billing data that came from various systems. The client’s construction management system was not supplying data in formats suitable for the complex reporting needed for this multi-billion-dollar project. In addition, production bottlenecks were causing unacceptable delays.
Analytix Studio applied deep data engineering skills to build the data linkages and transformations required to meet management expectations.
Reporting formats were revised and data pipelines modified for improved performance. As the firm's information requirements have evolved, our custom solution has been maintained and enhanced in response to evolving information requirements.
A private equity firm understood the significant but unrealized opportunities that data science and advanced analytics could deliver for its portfolio of investments. The companies under their control operate in a range of different industries and deploy a wide array of technologies. Variations in size, sophistication and analytical maturity of each company meant that there was no simple strategy available.
Analytix Studio helped guide the firm's data strategy and align the management teams as the firm works to advance the data analytics agenda among its investees.
Management at the governance level developed a deeper understanding of the business value of investing in data analytics. Operational managers have been supported to implement new technologies and business processes that leverage data for revenue enhancement and cost reductions.
An industrial goods distributor was managing more than 50,000 SKUs. Their online inventory held a vast array of products and was difficult to navigate. Customers spanned a variety of unrelated industries, some of them serving niche markets. As a result, when inside sales reps took orders they often missed opportunities to cross-sell related items.
Analytix Studio consultants recognized the problem and developed a recommendation engine that relies on machine learning to match customers' purchasing history with the products that best fit their needs.
Inside sales reps are able to bring forward product recommendations that are custom-tailored to the specific needs of each customer. Revenue gains have been realized as opportunities for up-selling and cross-selling are now recognized automatically.
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