Leger Analytics (LEA)

AT LEGER ANALYTICS (LEA), WE COMBINE ADVANCED ANALYTICS WITH MARKET RESEARCH EXPERTISE TO HELP YOU LEVERAGE YOUR DATA AND FUEL YOUR GROWTH.

The insights Leger Analytics delivers are enhanced by over 30 years of market research expertise. Over time, we have collected a wealth of data that we can use to help you benchmark yourself within your industry. We understand that insights in and of themselves are not necessarily useful: what matters is your ability to leverage these insights and act upon them, given the context in which you operate.

And that’s not all! We can also help you take advantage of one of your best-kept secrets: the data you already have. Chances are that your organization is already sitting on a goldmine of data. We can analyze this data (including website data, CRM system data, POS/transactional data, financial data, and more), and identify patterns within it (and connections between it) to help you make better decisions.

We work with clients across a variety of sectors. We can provide customized solutions for your organization, whether your target population is customers, clients, citizens, employees, attendees, users, patients, etc.

Our approach is flexible: we can work with you from end-to-end or jump in to assist at any stage of your analytics journey.

LEGER ANALYTICS’ THREE PILLARS: ADVISORY SERVICES, MODELLING, AND DATA STORYTELLING

Our approach relies on three key pillars that are closely linked: advisory services, modelling, and data storytelling. We use these pillars to guide us as we dive deeper into your data and analyze patterns to help you better understand the groups that are most critical to your success.

Advisory Services

We will work with you to define the right questions to ask to become a successful data-driven organization. We don’t believe in insights for the sake of insights: we believe in delivering actionable recommendations that you can use to fuel your organization’s success. Our insights only matter if you can leverage them.

Modelling

Our data scientists use predictive and prescriptive analytics to move past what and focus on why and what next. We use sophisticated statistical models and machine learning algorithms to identify patterns in data and predict relevant behaviours among your target population (for example, purchasing intent, etc.).

Using predictive analytics, we can help you make better, more impactful strategic decisions by predicting what your target population’s next steps will be, enabling you to prepare and act decisively.

Using prescriptive analytics, we can guide you toward the best solution for your organization by using simulated scenarios to identify your best strategic next steps. When you understand what matters to your target population, it is easier to offer them a better experience using the right initiatives.

Data Storytelling

A report that provides actionable insights is good, but an interactive report that gives you the flexibility and autonomy to mine your data is better. At Leger Analytics (LEA), we provide dynamic reports that help you dig deeper into your data.

What questions can we help you answer?

We can help you find the answers you are looking for by starting from one of the following four broad questions. Click on each one for more information, including the more detailed questions we can help you answer under each category. Don’t see your question? Contact us using the form at the bottom of this page! We’re more than happy to discuss how we can help you get the information you need.

ANALYTICS TECHNIQUES

We’re aware that you may already know the specific type of analysis you would like to conduct. Below, please find a full list of the analytics techniques that we use.

Depending on the questions you want to answer, or problems you are trying to solve, we may use any of the following techniques, or a combination. If you would like more information on any of them, don’t hesitate to contact us using the form at the end of this page.

  • Biplots or Quadrant Analysis
  • Cluster Analysis
  • Conjoint Analysis
  • Correspondence Analysis
  • Decision Tree Models
  • Discrete Choice Models
  • Factor Analysis
  • Generalized Linear Models
  • Key Driver Analysis
  • Latent Class Models
  • MaxDiff Analysis
  • Migration Analysis
  • Multiple Regression Analysis
  • Naïve Bayes Classification
  • Quantified SWOT Analysis
  • Sankey Analysis
  • Segmentation Analysis
  • Structural Equation Modelling
  • Trade-Off Analysis
  • TURF Analysis (Total Unduplicated Reach and Frequency)
  • Van Westendorp Price Sensitivity Meter (PSM)

CASE STUDIES

Posted in White Paperson 2021-07-23

[CASE STUDY] How Leger Analytics Used Discrete Choice Models to Project Market Share for a New Vision Product

CONTACT US TO LEARN MORE ABOUT OUR ANALYTICS SERVICES