Markeltree is a Prediction Analytics firm. Our predictive analytics platform turns data you already collect into decisions you can make, informed by prediction, who's buying, what's selling, who's walking away, where risk is increasing. Not just software for you to figure out how to apply by yourself; we integrate our analytics platform with expert consulting on how to use it; delivering ready-to-apply models and the experts to implement them.
Depending on the data, some common use cases are demand forecasting, churn prediction, and sales trend analysis. The prediction target is determined at the discovery stage.
The more data, the better the predictions; but even a limited amount of historical data can help with a useful starting model. Data sufficiency is evaluated in initial exploration.
Either can be possible: real-time dashboards or scheduled reports for various business needs. The delivery format will be confirmed at scoping, as it will be dependent on the data usage of decisions.
There is no one-size-fits-all solution and accuracy will differ from case to case and data source to data source. Across initial data assessment, the range of expected accuracy is determined.
Yes, integration with existing dashboards and reporting tools is often a requirement. This will prevent companies from having to change their entire reporting system.
Not always, but a support agreement can be used by outsourcing the maintenance of the model. This is verified by looking at the client's in-house technical ability.
| Capability | What It Does |
|---|---|
Unified Data Ingestion | Establish a single source of truth from the first day. Integrate data warehouses, CRMs, ERPs, spreadsheets, event streams, and third-party APIs into a unified platform. Make sure to catch incorrect information by verifying it against predefined profiles to reveal outliers, inaccuracies, or mislabels. |
Auto Feature Engineering | Create, test, and prioritize features out of raw tables and time series with no code needed; such as recency, frequency, and time metrics, rolling averages, seasonality, and lag features. Your analysts can have any domain specific features created and they can have unlimited control of them. |
Model Development: No-Code & Code-First | Custom fit forecasting, and classification & regression models on a guided canvas. Data scientists write in Python and R Notebooks, and incorporate custom algorithms to compare against available automated benchmarks. |
Forecasting and Time-Series Analysis | Accurately predict the demand, revenue, inventory, workforce, and cash flow with confidence intervals, rather than the one point estimate. Hierarchical forecasting ensures consistency of products, regions and company. |
Explainable Predictions | The factors of each prediction are included. Feature importance, scenario comparisons and plain-language summaries help to bolster stakeholder trust in the output and aid compliance teams in the review of the output. |
What-If and Scenario Planning | Make one of the price, budget or supply assumption changes and watch the projected effect - without risking. View multiple scenarios alongside one another, and pass them to key stakeholders. |
Deployment and Integration | Create predictions with APIs, schedule batch scoring, on dashboards, and on alerts. Models are translated from experimental to production without rewriting. |
Monitoring, Governance & Security | Track, monitor, and alert your project for data drift and bias as well as track accuracy throughout the project with automatic retraining triggers and alerts when performance decreases. Keep your data safe with role-based access, audit logs and encryption. |
We give you the first place to catch a prediction. A prioritized use-case roadmap, business case with financial returns, data readiness assessment and a plan for people, tools and timeline will be provided.
Pipelines, warehousing, clean, documented datasets developed to model. We take care of the integration, quality rules and feature stores so your models continue to run on fresh, trustworthy data.
Churn, lead scoring, demand, pricing, fraud, credit risk and models that are customized for your data and your decisions. Each model is tested against a base model and detailed documentation provided.
You had some sales, inventory, staffing and cash flow projections that matched your seasonality, promos and other market events, short or long term.
Predict lifetime value, customer churn, next-best offer, and likelihood to purchase. Segments and scores are seamlessly integrated with your marketing, sales, and support operations.
Detect fraudulent transactions, red flags and problems with the process before there are losses. You'll only get alerts that matter, not a truck load of junk!
Versioning, testing, automated retraining and monitoring to keep models performing well after deployment. We create the pipelines, you execute them with the playbook.
Predictive Analytics – Predicting from the known companies can get ahead of the problems before they happen. Gaining insight from past and current data allows teams to be strategic with their limited budgets, and get ahead of problems before they get out of control. With Markeltree's predictive analytics software and consulting, we can turn forward-looking data into actionable insights within the applications you use every day.
We develop end-to-end predictive analytics solutions that deliver accurate forecasts and valuable insights.
We don't start with algorithm, it's starting with decision you want to improve. Learn your goals, data, systems, budget and timeframe, and then put in the metric that will tell you if the project succeeded or failed.
We audit your data sources to get a feel for the size, quality, age and missing elements. We deliver a report in plain English on the objects available to use now, the objects to repair and the objects to collect.
We clean, join and structure your data and then build features that include predictive signal. All steps are recorded and can be reproduced to check results.
A targeted first model on one use case determines if your data will be capable of answering the question, and the answer's accuracy. This lowers the risk prior to a bigger investment and offers stakeholders a tangible thing to examine.
We try a few methods, tweak the best one and check it against data not used for training. The results are compared to your present method, but not assumed as a gain.
Predictions are linked to your CRM, ERP, BI tools or product via APIs and scheduled scoring. Your team can take action on them within the workflow that you already have.
We deliver the documentation, code and pipelines, and help train your analysts and business users to read and interpret the findings, giving your team ownership over the system so they can extend it themselves.
After implementation, we continuously track accuracy, monitor drifts and impact to the business, retrain and adapt and enrich the platform with new use cases as they are discovered. Your predictive analytics solution will become more and more useful over time.
AI-powered forecasting and business intelligence platform combining predictive models, real-time dashboards, ML forecasting, and automated recommendations for smarter business decisions.
Use predictive insights to guide smarter business strategies.
Markeltree helped us implement predictive analytics that transformed our business data into actionable insights. We can now forecast demand, reduce risks, and make smarter strategic decisions.
