HAI Analytics isn’t just a vendor. We’re your growth strategy partner.

The most effective algorithms are interpreted and adjusted in real-time, and that’s where HAI Analytics shines. We provide personalized predictive modeling solutions that enable our partners to more reliably forecast and increase donations, sales, enrollments, or profits.

We founded HAI Analytics as an alternative to automated modeling software. Our clients appreciate the extra care we take to ensure that our methodology is not just effective, but understandable and easy to demonstrate.

Our Approach

Regardless of where you are in your analytic journey, the team at HAI can guide you through each step of the process.

HAI Analytics solutions data evaluation

Data Evaluation

Useful results start with good data

We compile your historical data, then supplement it with third-party information for an inclusive snapshot of your business and industry. This combination ensures that HAI’s recommendations are ambitious, but achievable.

During this initial phase, you can expect us to:

  • collect, review, and validate your data
  • research and incorporate third-party information such as geodemographic data and consumer buying behavior
  • provide summary reports that identity patterns in the data, including threats and opportunities
HAI Analytics solutions predictive modeling

Predictive Modeling

Custom strategies to give you an edge

Using the data and insights gathered during Step 1, we build a full complement of statistical, machine-learning, and artificial intelligence models. This range ensures that the resulting scenarios are as predictable and actionable as possible.

In this phase, your deliverables will include:

  • custom-built and tested models, provided in an expedient manner
  • easy-to-understand results for you and your team
  • actionable strategies that can include as much or as little input from your team as you like
HAI Analytics solutions implementation

Implementation

Ongoing guidance, optimal returns

Predictive models need to be carefully interpreted and implemented. We founded HAI Analytics to meet the needs of clients who don’t have the time or training to constantly monitor plug-and-play software.

In this phase, we will:

  • explain our methodologies to you in an accessible way
  • facilitate the implementation of strategies by you and your team
  • remain at your side to aide in interpretation, measurement, and adjustment. We’re invested in the high ongoing performance of your models.
HAI Analytics solutions ongoing partnership

Ongoing Partnership

The Human Component of HAI

While we use AI learning algorithms, we value and understand the importance of human interaction in the process. That’s why we evaluate your model intelligence on an ongoing basis, enriching the existing data with your model’s predictions in real time. This approach keeps you on track to hit your goals now, and in the future.

Industries

The ability to predict enrollment is key to an institution’s health, particularly for those that are tuition-dependent. And the pressure on enrollment management isn’t just to fill the class, but shape it in ways that align with an institution’s values and mission. With deep experience in predictive modeling for higher education, HAI can help you forecast:

  • How many of your admitted students will enroll, and what the enrolling pool will look like
  • How much revenue you can expect from first-year students
  • What factors predict inquiry-to-applicant conversion
  • Which prospective students are most/least likely to apply and enroll
  • What factors predict retention and success
  • Which students are most at-risk of not graduating
  • What factors predict donating behavior and which students are most likely to give back

Sifting through portfolios is time-consuming, and the results are unpredictable. HAI can optimize your efforts by identifying your most promising prospects, as well as what motivates them to give. Whether you’re planning a multi-year capital campaign or setting annual development goals, you’ll grow gifts by understanding:

  • Which of your contacts are most likely to give
  • Who is most likely to become a repeat donor
  • Which messages are most persuasive, and if they vary by audience segment
  • Whether there are geo-demographic factors that will help distinguish between those most /least likely to donate
  • Which markets hold the most potential for the cultivation of new leads

With so many purchasing options now available to consumers, retail companies need more sophisticated ways to keep up with their customers’ multichannel buying preferences. Predictive modeling can be used to understand consumer behavior and target marketing efforts strategically to meet individual customers’ needs across different channels and devices. The team at HAI Analytics has been building pricing strategies and statistical models to predict buying behavior for more than a decade. Partnering with HAI will help you understand:

  • How you can use data to make the most of your advertising spend
  • How to plan inventory in order to minimize strain on resources, while keeping up with customer demand
  • Which of your marketing strategies are most effective for reducing customer acquisition costs
  • Where there are opportunities to increase customer conversion
  • How you can prevent churn and maximize the life-time value of your customers
  • Which consumers are most likely to develop a strong brand loyalty

Amazon may lead the pack, but more and more businesses are using machine learning and other algorithms to power-charge ad spends and grow their market share. HAI can give you that same edge in your marketplace by identifying:

  • Which specific actions predict whether consumers will buy your products
  • Which geo-demographic areas hold the most potential for future customers
  • What "share of wallet" you own with existing customers, and how to increase the likelihood of upsell or cross-sell opportunities
  • Which customers are exhibiting red flag behaviors, so you can protect your client base (churn forecasting)
  • Where to target ad placement for maximum impact
  • What content and services will delight your base and grow brand loyalty

If you’ve read Moneyball, you know that the use of big data in athletics has hit the big-time. The exploding field of sports analytics uses data mining, predictive models, and information systems to help teams/organizations gain competitive advantages by revealing:

  • How to turn casual fans into season ticket holders
  • How to predict which season ticket holders are likely to renew
  • Which evidence-based tactics will help recruit top talent
  • How to monitor and optimize individual player performance in real time
  • Which factors predict a team success

Don’t see your industry?

Contact us to see how our customized solutions can work for your business.

Contact Us