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KIROI - Artificial Intelligence Return on Invest
The AI strategy for decision-makers and managers

Business excellence for decision-makers & managers by and with Sanjay Sauldie

KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

Start » KIROI Step 3: Big Data and Smart Data – Using Data as a Success Factor with a Customer Example from Retail
4 August 2024

KIROI Step 3: Big Data and Smart Data – Using Data as a Success Factor with a Customer Example from Retail

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In the age of digitalisation, data has become one of a company's most valuable assets. The third step of the KIROI (Artificial Intelligence Return on Investment) Strategy focuses on turning Big Data into Smart Data to make informed business decisions and gain a competitive advantage.

Customer example: ABCDEF Retail Ltd (name changed due to NDA agreements)

ABCDEF Retail GmbH, a successful retail chain with branches across Europe, faced the challenge of optimising its sales strategies and better addressing customer needs. The third step of the KIROI strategy helped them to use data effectively.

Identify data sources

  • Internal data sources Sales figures, stock levels, customer feedback, and loyalty programmes have been identified as valuable data sources.
  • External data sources Market data, demographic information and social media analyses were used to gain a more comprehensive picture of the market.

From Big Data to Smart Data

  • Data cleansing To ensure the data is meaningful, it has been cleaned and consolidated to remove duplicate entries and inaccuracies.
  • Data analysis Using advanced analytical tools, the data was examined to identify patterns and trends that indicate new sales opportunities.

Strategic implementation

  • Personalisation The insights gained enabled ABCDEF Retail GmbH to develop personalised marketing campaigns tailored to individual customer preferences.
  • Optimisation of inventory management By analysing sales data, the company was able to manage its stock levels more efficiently and avoid shortages.

This example shows how companies can increase their competitiveness through the targeted use of data. Use these insights to make data-driven decisions in your own company.

Result:

Thanks to the use of Smart Data, ABCDEF Retail GmbH was able to improve its sales strategies, strengthen customer loyalty, and increase its revenues. Data-driven decision-making led to cost reductions and increased efficiency.

The third step of the KIROI (Artificial Intelligence Return on Investment) Strategy highlights how important it is to filter out relevant information from the multitude of available data and to use it in a targeted manner. Companies that effectively transform their data into Smart Data can optimise their business processes and gain a decisive advantage.

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