OUR DATA SCIENCE PLATFORM
Rather than using reporting to discover inefficiencies or failures after they happen and then acting to prevent future occurrences, advanced AI/Machine Learning enables us to anticipate market trends, events and opportunities and help our clients position themselves as industry leaders. Let us help you uncover the keys to optimizing your business at every level be that on-site operations, customer marketing and sales, inventory strategy, or product pricing among others.
OUR PROCESS
i360’s team of data scientists specializes in the application of advanced AI/Machine Learning to predict outcomes in big data and reveal opportunities for business optimizations.
Through a combination of methods including supervised and unsupervised Machine Learning, natural language processing, and expert systems, i360 helps our clients translate their data into meaningful insights and outcomes.
AI Demystified
At i360, we’ve been practicing AI for years. Our team of data scientists uses components of Machine learning, Deep Learning and Predictive Analytics, every day as they build and refine our predictive models. We leverage NLP as we analyze social behavior and survey responses to understand the meaning behind the words.
While we are constantly experimenting with new techniques and applications of AI, we also recognize its shortcomings and don’t underestimate the value of the human element. Our team of analysts and data experts are hands-on, constantly monitoring and evaluating the performance of every model they build facilitating constant refinement and continuous improvement.
*Categories marked with a logo are services offered by i360.
OUR DATA SCIENCE CAPABILITIES INCLUDE:
MARKET & FINANCIAL FORECASTING
KNOW THE MARKET
Using historical data from your business, as well as external data sources such as market indicators, weather, website data, etc., i360 builds and validates models that make predictions at the product, market, index, and individual consumer levels.
From forecasting future markets to inform trading strategy to gathering data from unexpected sources to identify the going rate for raw materials to guide pricing negotiations to predicting supply, demand and business credit risk, the applications of i360's data science capabilities are limitless.
Consumer & Voter Predictive Modeling
Know Your Target Audience
At i360, the data — not assumptions — drives our predictive models. Utilizing cutting-edge techniques and hundreds of dynamic variables, i360’s predictive modeling provides unprecedented insight into consumer behavior empowering businesses and campaigns alike to target audiences with unmatched precision.
Applying advanced data mining techniques and statistical pattern recognition our models provide key pieces of intelligence to our customers. Coupling direct response data and ensembling multiple advanced machine-learning algorithms to minimize error coming from any one algorithm, our models generate the most accurate, individual-level predictions in the industry.
Using data points from our extensive database combined with collected data, i360 can predict the predispositions and opinions of voters and consumers such as their likelihood to purchase a product, redeem a coupon or respond to one media channel vs. another.
Issue Cluster Model
Giving you unprecedented insight into how much your target audience actually cares about a specific issue, the issue cluster model enables you to build a smarter and more effective messaging strategy than ever before.
PREVIEW THE TOOL ›
Overview
If you give them a chance, the majority of people will say they have an opinion on any issue – one way or the other. But, if they oppose an issue that a candidate supports, is it an issue important enough to actually change their vote? To answer this question, our data science team has been hard at work building a new type of model – the issue cluster model – that predicts which issues voters care about most. And therefore, what issues and stances are likely to persuade them to choose one candidate over another.
How it works
To begin, we identified eight issue buckets and asked voters a series of questions to understand where each issue ranked on their list – first, second, or third. By analyzing the responses and overlaying them with our affinity segments, we were able to determine how the issues were related to each other.
How you can use it
By using the Issue Cluster Model when building your lists, you can maximize your efficiency – increasing the likelihood of reaching those voters with an issue that is important to them by up to 67 percent and simultaneously eliminating waste. The Issue Cluster model is now available to all users in the i360 Portal. Simply select an issue and overlay one or more model score ranges, i.e. .7+ on i360 Affinity Model, and export your list. Curious how many voters care most about their 2nd amendment rights? Use the tool to run the counts!
CUSTOM MODELS
Have something more specific in mind? We work with campaigns and organizations all the time to develop models that answer the questions most important to them and their business. From the start, our team will work with you to ensure we acquire the most useful data from a representative sample to train and validate every model.
And, we provide 100% transparency along the way, supplying detailed validation reporting, showing accuracy by quartile and decile, and giving you confidence in the performance of each predictive model.
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SYSTEM/PROCESS OPTIMIZATION
MITIGATE RISK AND IMPROVE EFFICIENCY
Increase the efficiency of your business operations and maximize output by using predictive modeling to identify risk indicators and prevent issues before they happen.
From optimizing plant operations to identifying equipment failures before they happen, i360's ability to understand and marry disparate data sources presents countless opportunities for optimization and improvement.
SUPPLY CHAIN LOGISTICS
OPTIMIZE TO MINIMIZE WASTE
Using existing internal and external data, i360 can build models to help you optimize production and minimize waste by identifying inefficiencies or shortcomings of existing processes. For instance, using weather and traffic pattern data along with many other data points, i360 built a suite of models to predict arrival-times for deliveries to keep customers informed with reliable information they could plan around.