Cresco lowers barriers to data science with IBM Cloud

Data is the new natural resource, but for many organizations, getting started with data science presents tough challenges.
As the volume, variety and complexity of data explodes, businesses can’t continue to rely on spreadsheet-based approaches to surface actionable insights. Yet, because experience in enterprise-class analytics platforms is in short supply, it can be difficult to get the most out of investments in new data science tools.
Drawing on decades of experience in cutting-edge analytics, Cresco International shaped an offering that empowers businesses to embed data science into their processes. To date, the company has helped hundreds of clients use data-driven technologies to find smarter ways of working.
Offering enterprise-class analytics to all
Today, Cresco uses IBM Cognos Analytics, IBM Watson Studio, IBM Planning Analytics, IBM Decision Optimization and IBM Watson Analytics to provide industry-leading data science capabilities. IBM Analytics software is also the foundation for many of our proprietary analytics solutions, which harness IBM Db2 database technology.
For many of our potential clients, deploying these kinds of analytics solutions on premises would require substantial infrastructure investment. By offering the solutions as software-as-a-service (SaaS) subscriptions on the IBM Cloud, Cresco enables small and medium-sized businesses to access enterprise-grade technologies previously restricted to big firms with big budgets.
As well as helping clients get started with data science quickly and cost effectively, the IBM Cloud enables Cresco to tailor its offering to individual client needs. By combining IBM technologies in the cloud using APIs, we can help clients achieve a shorter time to market and a faster return on investment.
Reaping the benefits
Since Cresco began bringing data science to businesses around the world, we’ve had many success stories. One of our clients, a leading distributor in the automotive business, wanted to ensure it delivered the right products to each customer on time.
Working with us, the distributor uncovered hidden insights into customers’ purchasing behavior, revealing where and when customers bought products. By optimizing stock placement, the company reduced the risk of delivery issues dramatically.
Based on the positive outcome of this engagement, we went on to help the company build machine learning algorithms to identify peaks in customer demand. Using these insights to tailor employee scheduling, the distributor saves hundreds of thousands of dollars on unnecessary overtime.
Our recent work with Dallas Area Transit (DART) was another high-profile success. By helping DART spot trends in how people use its services, Cresco enabled the company to plan its services more effectively. These changes helped DART achieve its goal of encouraging more passengers to ride its light rail, streetcar and bus services.
When our clients win, we succeed too. Cresco is proud to partner with IBM to help businesses transform for the digital age. To learn more about our work with IBM, read the case study.
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Quelle: Thoughts on Cloud