Put down the eight-ball and pick up predictive analytics. Using historical data and behavioral analytics, you can draw connections and plan your next moves in ways that will revolutionize how you do business.
A Transformative Technology
Using a combination of data mining, statistics, modelling, machine learning, and AI, a predictive analytics solution can help prepare you for future events. Trends and patterns—gleaned from your historical and behavioral data–are rapidly analyzed, providing insights to help you determine your next steps with greater accuracy and assurance.
Benefits
- Speed: Instant data processing, faster decision making, quicker ROI
- Revenue: Better budget allocation, increased revenue, risk analysis
- Security: Identifying risks and threats, reduced loss
- Sales: Customer retention, upselling / cross-selling recommendations
- Marketing: Engagement opportunities, lead generation, customer delight
Recent Success
Mobile Analytics Solution
Recently, we helped our CPG client enhance their product placement and reduce labor cost through image recognition for product placements and shelf monitoring analysis. The mobile app solution identifies placement issues and suggests remediation based upon detected trends. The solution allows users to rapidly plan future displays at the touch of a button.
A Solution for Any Industry
Unsure if predictive analytics could help your organization? Here are some examples of ways predictive analytics can assist your industry:
- Finance: Determine future revenue, growth, and risk analysis
- Healthcare: Adjust treatment plans and liability preparedness
- Manufacturing: Predict sustainability of tools and future maintenance
- Energy: Monitor risk analysis for supply and disruption
- Education: Evaluate student retention based upon behavioral data
Machine Learning Technologies
We leverage the latest machine learning tools on the market:
- Machine Learning on AWS
- DataRobot
- IBM SPSS Statistics
- IBM Watson Studio
- RapidMiner Studio
- SAP HANA
The
Chateaux
Advantage
in Predictive Analytics
Implementing operational intelligence
Building predictive models
Identifying trends and patterns
Predicting behavior
Improving strategic decision making
Leveraging text analytics and natural language processing (NLP)
Automating data processing
