We use the know how in our Cornerstone Solution®
to utilize your customer data to build analytics for customer intelligence. After modelling your raw data in a database we can create data analytics for you such as a customer sales funnel. This type of data analytic can help you answer questions such as “How many customers in a segment make a purchase after our first contact?” and “ Is there any particular phase where we fail to provide what the customer segment needs to go to the next stage?”
We can build you business intelligence data analytics combined with your sales data to provide information on sales regions, product sales, and key account performance. You could also for example monitor performance against targets to identify your most profitable marketing campaigns. You could identify your most profitable customer segments and how much you have to spend to retain those segments.
A well designed database will also allow you to join other company data up so you could combine your sales data with your supply chain data to help balance your supply and demand. This can play an important part in predictive analytics. A poor sales forecast that is pessimistic can lead to an under supply in the supply chain meaning that orders cannot be met in a timely fashion. This in turn can lead to cancelled customer orders and brand credibility erosion. Having to expedite orders through the supply chain can lead to increased costs. Conversely an over optimistic forecast can lead to excess inventory being held.
Contact us without obligation if you’re interested in understanding more about using data analytics in your business.
Biography – Russell Beech, Founder of BI System Builders & Cornerstone Solution®
I architect data solutions and superintend the solutions that I architect. I build teams that are usually a mix of full-time employees and sub-contractors. I ensure mentoring and knowledge transfer. The emergence of big data has opened the door to a rise in interest in predictive analytics aka machine learning. For me the technology changes have provided the opportunity to architect data solutions which combine my enterprise data warehousing experience with data lake concepts and to apply my knowledge of statistics to that data to deliver predictive analytics. To that end I’m putting work into understanding how the evolving technologies hook in to each other. I have a focused interest in learning about big data technologies such as Hadoop, Hive, GCP BigQuery and machine learning and their integration/virtualization with the enterprise data warehouse.
You can find me on LinkedIn here and subscribe to watch BI System Builders videos on our YouTube channel here.