In my last insight into the Intel IT Business Review I am looking at the impact of one of the BIGGEST trends in business IT, Big Data or as I prefer to use, Analytics.
In an age when organizations such as Intel are rich in data, finding value in this data lies in the ability to analyze it and derive actionable business intelligence (BI). Intel IT continues to invest in tools that can transform data into insights to solve high-value business problems. We have seen significant BI results from our investments in a number of areas.
For example, Intel IT have developed a recommendation engine to help Intel sales teams strategically focus their sales efforts to deliver greater revenue. This engine uses predictive algorithms and real-time data analysis to prioritize sales engagements with resellers that show the greatest potential for high-volume sales. We saw USD 76.2 million in revenue uplift for 2014 through the use of this capability.
Integrating multiple data sources has enabled Intel to use its decision support system to significantly impact revenue and margins by optimizing supply, demand, and pricing decisions. This work resulted in revenue optimization of USD 264 million for 2014.
And the big data platform for web analytics is yielding insights that enable more focused and effective marketing campaigns, which, in turn, increase customer engagement and sales.
The exploration and implementation of Assembly Test Manufacturing (ATM) cost reduction initiatives involve complex algorithms and strong computation capabilities due to the high volume and velocity of data that must be processed quickly. The ATM data sets–containing up to billions of rows–cannot be effectively processed with traditional SQL platforms. To address this gap, IT have implemented a reusable big data analytics correlation engine. This tool will support various high-value projects. The estimated value for the first of these projects, a pilot project for one of Intel’s future processors, is greater than USD 13 million.
Intel IT are exploring additional use cases for data collection and analytics across Intel’s manufacturing, supply chain, marketing, and other operations to improve Intel’s operational efficiency, market reach, and business results. In 2014 alone, Intel IT’s use of BI and analytics tools increased Intel revenue by USD 351 million.
To read the Intel IT Business Review in full go to www.intel.com/ITAnnualReport