Whether you are a fledgling startup wanting to get a jump on the market, or a Fortune 500 company struggling to gain usable insights despite heavy investment in data, we have a solution for you. We deliver high value data analytics, visualizations, and data science solutions with your existing technology investment. Your data is your most valuable asset, let it guide your company’s story.
Let us meet you where you are and take you were you want to go.
Prescriptive analytics engagements begin with a full understanding of the data needs of the company, with the understanding that the relationship will be ongoing and include several stages of data gathering, initial analysis, goal setting, and prescriptive analysis based on the evolving needs of the business.
Business Informatics and Intelligence uses the company’s internal data to understand the current standing within the existing business environment. We then add the data science tools machine learning, artificial intelligence, data modeling, and other data science disciplines to develop a future-facing understanding of business needs.
Many companies who currently work with data struggle to deliver their findings successfully to stakeholders. A lack of technical knowledge, access to data visualization resources, or an inability to communicate their needs to technical teams can all get in the way of effective data visualization. We provide a bridge between companies and their data visualization and reporting needs.
Marketing teams use data too. Segmentation and propensity modeling uses machine learning models to find targeted marketing audiences and highly evolved decision models. These models focus on human behavior and how likely an individual or group will choose one option among the many presented to them.
Jumpstart Analytics is our rapid delivery engagement, designed to help organizations begin their data with limited time and capital investment. We deliver high value insights from even the most unstructured data and provide functional roadmaps to grow your company.
Adding data science and analytics capabilities to your existing service offering is not an easy, or inexpensive undertaking. We partner with digital marketing and consulting firms to strengthen their core offerings to improve client acquisition and retention.
Opportunity
An international eCommerce organization had a customer attrition rate that exceeded the rate of acquisition – causing an overall negative growth rate. The team was tasked with increasing save rates by building a model that allowed targeted outreach to at risk customers.
Opportunity
The client had high customer turnover and large variability in their sales staff; while revenue was steady, growth was flat. Our team was tasked with building a Next Best Offer Model (propensity to purchase) to guide sales staff in presenting customers products they had a higher likelihood to purchase. The goal was to accelerate growth by driving sales, reducing churn, improving staff retention.
Opportunity
A national contact center tasked with managing a candidate application process for 32 of its member states struggled to keep up with increased volume of applications and customer communications. Their internal solution was to continually add headcount, but the published 8-10 week turnaround time often took substantially longer than 8-weeks to complete. The result was a spiraling cost structure and increasing reputational harm to the organization.
Opportunity
A Marine Corps support squadron needed to dramatically improve its mission readiness and reporting capabilities, as it was among the worst performers in this category. The unit was looking at various solutions to help drive improvements in this key metric, but most options were very labor intensive and had inherent reporting delays.
Opportunity
Facing a two-time incumbent in the client’s first race for higher office, the campaign team wanted to identify undecided voters and likely donors using advanced campaign analytics.
Opportunity
A publicly traded, federally regulated industry was historically slow-reactive to public relations events. A reactive approach to brand management significantly increased regulatory, financial, and reputational risk while also increasing the potential for sanctions on core product pricing. To mitigate these risks, the team was tasked with developing a proactive response and brand management model using customer segmentation modeling and social medial tracking.
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