We offer 4 services:
Advisory – A light touch, advising you and your key contributors on how to improve your data effectiveness.
Consulting – Establishing a specific project to improve your data effectiveness which could include a Proof of Concept to validate the improved data value.
Business Growth Partner – Taking responsibility to grow additional revenue streams augmenting your organization and allowing faster growth at a lower risk.
Training – Creating fast, custom training for your company on high value data uses that allows your organization to use the data for growth and profitability.
What are examples of how data can be used differently:
Generate ideas based on your vision and 6 – 10-month strategic plan on how to use your data to build a DTC program, higher customer loyalty, sell add-on products and services, and understand how to acquire new higher value customers.
I am often asked the basic question: How can we use this data to increase sales and profit? There are three components we look at:
What are the personal and household attributes of the high value customer/client and can we find them? Then we can increase new customers profitably and have a path that has a higher potential to develop higher value lifetime customers.
How to keep current customers/clients buying more of your product longer? Can we position your product to compete with a smaller group of products where your product attributes are differentiated and anticipate the time of next purchase? Sometimes a simple change in communication/positioning can resonate with a core, loyal group.
What additional items can be provided to enhance the customer/client experience? Can your data be used as feedback to the customer/client for enhance convenience/lower overall cost of ownership/build esteem? Can we leverage the data to see what else they are buying to enhance their experience with your and similar products?
Value your data at its true worth and transform your data into an asset.
There is a market for data that grows every day. We can help you assess the true value of your data.
Once you are connected to the world of data valuation, you can receive capital to fuel growth, improvements, pricing, promotion and marketing campaigns.
We will also help you upgrade your data protection, maintain compliance to evolving data privacy regulations, and improve your data nimbleness.
Enhance your data for competitive purposes.
Enhancing your data entails adding additional information to your database and this involves linking your data with a public or private data source to provide additional attributes to your own data or using advanced analytics to provide value-added Data-As-A-Service to your clients. These actions can re-position your company significantly to win new clients and deepen relationship with existing clients.
Our knowledge of availability of data allows us to provide options for substituting data sources to balance cost and accuracy.
Proactively address quality issues where the payback on its improvement can be leveraged. The process is always the same: find the root cause. Understand the level of effort to reduce SUFFICIENTLY or eliminate the root cause.
We are a management company, not a technology one. We do not just build technology for technology sake. All actions need to pay for itself and the risk adjusted, expected return of the capital.
Data quality issues are at the heart of trusting the output. GIGO (garbage in, garbage out). What are the range of options available to make the data more trustworthy for your team and for you? What is the cost of the improvement and what would the value be?
Every data source has data quality issues. Every organization has made management decisions on the level of data quality to provide. Do you have sufficient information to make that decision?
Reduce uncertainty by combining your data with more granular data sources. By combining data, it becomes clearer where to invest resources and where NOT to invest.
For example, a former client had a strong view of who their key customers were demographically. Using demographic and competitive product data, a store-by-store, retailer-by-retailer profile was established to see where these key customers are currently shopping. The company had strong relationships with retailers that were not robust shopping destinations for their key customers of a brand. They made a decision to focus efforts toward higher potential retailers for certain brand offerings.