I offer services to define analytic strategies and execute on the projects derived from those strategies. In my substantial experience working for both analytics software vendors, as well as businesses who are deploying analytics, I have found that a majority of businesses have underperforming analytics solutions, or, have no analytics offering at all. There is a formula for success. Here's my proven approach. These steps are not necessarily done serially...some can be performed coterminously with others. 1. Get an extensive understanding of the business need through interviews and analysis with the sponsor. This effort will include analytics team members. Everyone needs to understand the goal. When analytics implementations fall short it is typically because the team became distracted from what success looks like. 2. Perform data analysis to determine what is available to achieve the goals. When companies don't have successful, if any, analytics implementations it is likely due to missing or dirty data. Data warehousing effort is often an outcome from this analysis. 3. Evaluate software tools and platforms. Often companies purchase analytics products from software vendors as a standard for the enterprise. Other analytics projects will include a budget for analytics products. It is important to determine what functionality will be required and/or what components should be built in-house. For example, Tableau is a super analytics platform but it is expensive and often overkill for the required solution. 4. Vendor negotiation. I have spent most of my career working for analytics and AI software companies. I founded a real-time, predictive AI software company and sold it to Oracle. I have been on both sides of the table as the Vendor and the Business Champion...I understand how to create a successful business partnership. 5. Define and execute the project. I create implementation plans that are "Agile", much like software development is done. "Agile" means frequent milestones and checkpoints. This will sound odd to many, but, it is important to "fail fast" rather than fail after months of investment. Robust project plans will have many tracks; a few of which are data modeling, ETL/ELT, warehousing, building dashboards, user training, executive reviews, etc. Visibility is a key theme. 6. Solution review. Discussing what went right, what went wrong, remedies, etc. Mentorship is a key deliverable from the analytics project. I strive to improve everyone's capabilities and take a positive, mentorship approach. The teams that I have created and worked with over the years love this approach. I have a large network of folks that are ready to work with me in the future. The service that I provide is built on extensive experience managing groups as large as 150. I understand what success and failure looks like across a broad spectrum. I am happy to discuss more detail about my services.
Analytics Strategy. This will include a long-term analytics roadmap with well-defined milestones for multiple groups in the business.
Analytics project definition and execution. This will include project plans, well-defined teams, Agile methodology and frequent checkpoints.
Vendor selection and negotiations. My background as a "software vendor" enables me to create successful vendor relationships.
Successful Analytics and BI solutions that delight the business sponsors and come in at or under budget.
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