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Home >> Why Scalar >> Case Studies >> A Semiconductor Equipment Manufacturer Built Sustainable Data Management Structure to Boost Sales Strategy

A Semiconductor Equipment Manufacturer Built Sustainable Data Management Structure to Boost Sales Strategy

 

Scalar Market Research aims to provide real-time data and consulting services to clients around the world. The following case study showcases how we work with our Semiconductor clients across a range of issues to deliver impactful advantage.

The Client Challenge

Our client, a global semiconductor equipment manufacturer was looking to boost their sales strategy. The company had been in the same business for many years, which had affected their information system. It did not help them to understand the financial performance and customer demand patterns. The client wanted to regularize their customer experience analysis and track the intelligence to assess the growth and development opportunities. The client engaged us to offer a suitable plan to get their data management structure in order.

Approach

In order to organize the decisions and responsibilities, Scalar built a detailed accountability matrix. Through the matrix, we defined the activities and processes within the company. We analyzed the data collected through the process to come up with the assessment of risk management and decision-making system within the organization. Data management is a process that requires significant change throughout the company. As a result, we recommended several targeted pilot projects to test the data management systems within the company.

In order to boost the sales strategy and create intelligence data management system, we applied change management through custom guidelines suitable for the scheme of things at the client’s company. We focused on achieving the set business goals, addressing risks and highlight potential opportunities, management and sharing of all the data in order for it to be relevant. The emphasis was given on prioritizing the actions and management and sharing of all the available customer and growth related data.

Results

At the end of the research and recommendation period, we established and presented a strong framework that focused on business and data management and application of enterprise technology in the given company dynamics of the clients. All the research material and the solution framework provided by us, boosted the confidence of the client in decision-making as they trust the kind of data available and circulated, internally.

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