Our process is focused on solving the right problem and delivering results. The only way to do that is to first understand and define the problem and the potential impact in real dollar terms. That is why the first step in our process is to engage in a 2-4 week Feasibility Study to clearly understanding your business objectives, technical environment, capabilities of internal resources and budgetary constraints.
The output from the Feasibility Study includes the technical approach and design of a Pilot Program, as well as a roadmap outlining the complete phased implementation. We work with you to establish the key assumptions that will be tested during the pilot phase so that there is clear agreement as to what constitutes a “win.” We then run the pilot program using SaaS solutions and cloud-based analytic tools to get up and running as quickly as possible with minimal cost and disruption.
For every engagement, we focus on turning your data into your competitive advantage by knocking down current barriers to data access, implementing smart analytics that create real insights, and motivating the right behaviors that drive action.
After years developing pricing analytics solutions, we have developed a good understanding of customer buying patterns and behaviors. We also came to realize that although proper pricing and margin management is important, delivering a superior customer experience is ultimately what makes our clients more competitive.
Moving beyond pricing optimization, we now help clients with the complete customer journey from automating online product selection to enabling post-sales support and distribution processes. Our clients want to delight their customers at every touch point, and they understand that using data and analytics to anticipate customer needs and deliver superior service is the best way to compete and win.
Using powerful, highly scalable analytic processing tools coupled with machine learning algorithms, we can help B2B enterprises take their customer experience to the next level by providing prescriptive guidance and support throughout the lifecycle.
With our pricing analytics services, we assist companies like yours in tackling your unique pricing challenges through a data driven analytic approach. For more than a decade, we have deployed pricing solutions to help some of the nations largest distributors and manufacturers across various industries. This experience has given us an expert insight into the power of company-specific pricing decisions, which will ultimately differentiate you from your competitors.
We understand that your pricing needs are unique, and we are here to help you manage those vital decisions. Diving deep into your historical data and current tools, we provide your company insight into your current pricing practices, and identify specific areas for improvement. From that point we go on to develop an action plan with you, to address and correct poor pricing behaviors with an easy-to-use tool (Point2Profit). As a result, your company is empowered to make winning decisions that delight both you and your customers with immediate, powerful results.
Contact us today to learn how we can work together to tackle your pricing needs.
Point2Profit, an enterprise-ready Software-as-a-Service (SaaS) technology, is the engine behind every EnterBridge pricing solution. Point2Profit interfaces with a variety of pricing and ERP systems, transforming your data into deep insights and sharing that understanding with you visually. However, we don't stop at understanding your data; Point2Profit is built with action in mind. Incorporating your specific pricing rules and processes, Point2Profit creates an actionable workflow interface to your current systems, ensuring strategic pricing practices are integrated into every aspect of your organization. These actions include everything from customer price quoting, to managing supplier cost changes, to back-end rebate reconciliation.
We understand that your solution is dependent upon your individual situation, and your particular solution must be crafted accordingly to get the results that you expect. There is no one-size-fits-all solution. Let us show you the flexible solutions of Point2Profit that lead you toward a secure and prosperous future.
At EnterBridge our pricing analytics technologies rely on buying patterns in data to suggest pricing and margin development strategies to our clients. We have developed our data driven approaches in traditional data integration and business intelligence environments for the past decade.
You know the world revolves around data and we could spend time talking about the variety of buzzwords that fill the air and how our team is dedicated to finding, developing and implementing big data solutions and related technologies.
But frankly, that is all talk! We would rather seek out demonstrable value. So we challenged ourselves to reinvent some of our own technology and measure the results.
Reinvent the EnterBridge pricing engine to address:
- Quick and simple visual access to data for our data analysts in business friendly environments
- Processing data elements and logical views in a timely fashion
- Parallel processing of models to evaluate optimal outcomes
- Developing rule-based methods and algorithmic execution
- Reducing overhead for Extraction, Transformation & Loading (ETL)
We have utilized this Big Data approach and updated our existing pricing analytics process which consists of the following steps:
- Loading invoices and supporting data
- Executing our pricing algorithms
- Visualizing the results
We've evaluated and utilized multiple vendor technologies and solutions to identify best-in-breed tools. Our final implementation in this process demonstrated that innovative technologies can add value to proprietary data sets, existing processes and business activities of many shapes and sizes, all at a valuable Return-on-Investment (ROI).
Our initial reference implementation for our pricing engine, represented by the diagram below, yields the following benefits:
- Flexibility at scale to manage execution performance
- On demand environments that can accommodate concurrent models
- Significant reductions in traditional ETL processing times
- Support for timely visualization of big data and and integration of business friendly environments such as Tableau and Excel
- Statistical and analytical solutions to assist in algorithmic discovery and validation of outcomes
- Cost efficient processing resources using cloud-based platforms
It is clear that big data has much to offer as an extension to, or replacement of, existing enterprise strategies for data science, analytics and operational data practices.
Let us help you discover the impact modern data architectures can have on your organization!