Once the solution is crystallized and implemented the most exciting challenge starts. The investment done must be earned back and even more a sound return on investment must be realized. This is where our Optimizing Methodology is coming in.

Using Advanced Analytics to direct, automate and optimize business decisions is challenging for each organization. Skilled, knowledgeable and dedicated people are crucial for being successful towards becoming the Predictive Enterprise. Unfortunately, these resources are scarce.

Crystalloids provides best-in-class Consultants to optimize the solution in your organization for highest return on investment.

Our Optimizing Methodology consists of five phases:

• Understand your business and data

• Prepare your data

• Build the required deliverable like a model, analysis, campaign or report

• Evaluate and approve the deliverable

• Deploy the required deliverable into the organization

Phase 1 - Understand

The first phase of the Optimizing Methodology is to understand your business objectives, goals and success criteria and the underlying data.
With respect to the business objectives, goals and success criteria, are these realistic and feasible? How is the required deliverable contributing to these objectives and goals? Which resources are available, what are the requirements, what is exactly the scope and planning? Which risks, assumptions, issues and definitions are applicable? What are the expected costs and benefits?

With respect to the underlying data, is the data already available? What is the data model and what is the definition of each data element? And last but not lease what is the quality of the data and can it be used to build the required deliverable?

At the end of this phase a plan is written stating how the required deliverable like a model, analysis, campaign or report is realized and how it can be deployed.

Phase 2 - Prepare

In this phase the dataset is being prepared so the required deliverable can be build. We will select, clean, construct, integrate and format the data.

Phase 3 - Build

Based on the dataset the required deliverable can be build. Since the Optimizing Methodology is covering multiple data-driven deliverables the deliverable being build could be a model, an analysis, a campaign, an interaction, a dialogue, a dashboard or a report.

Phase 4 - Evaluate

In this phase the deliverable is reviewed by you and evaluated against the business objectives, goals and success criteria to see if we are successful. If we are successful the deliverable is being approved. If not we will go back to Phase 1 to see if we have a clear understanding of the business objectives, goals and success criteria and the underlying data.

Phase 5 - Deploy

Once we have a successful deliverable it is very important to ensure the realization of the business objectives and goals and the deployment of the deliverable into the organization. The deployment is being monitored and maintained. Also the final report is being written and the project is being evaluated and shutdown.

Read more on our Optimizing Services in Our References.