Solutionpath - HPE Discover 2015
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The document outlines the uses and benefits of predictive analytics in various sectors, including education and social care, emphasizing its effectiveness in predicting customer churn and identifying at-risk individuals. It highlights significant cost savings, improved engagement, and better outcomes through data insights across fragmented systems. Key advantages include early interventions leading to enhanced performance and retention rates while providing a comprehensive view of student or employee journeys.
Solutionpath - HPE Discover 2015
- 1. Disruptive (Big) Data Predictive Analytics
- 2. Disruptive (Big) Data Predictive Analytics 2
- 3. Did you know? 85% of Fortune 500 companies do not exploit big data for competitive advantage To date, Solutionpath has successfully predicted 87% of customer churn One customer estimated first year returns in excess of x19 of initial investment
- 4. Did you know? Predictive analytics promise the ability to reshape public services to focus on those in need sooner, and better Our solution can successfully predict vulnerable adults and children and customer churn We are working with one customer to make savings against a £30m budget within social care
- 5. Significant outcomes for your business. Are you? …working in education to help students achieve their best and protect income? …a health professional seeking ways to reduce costs and deliver better care? …multi agency hubs seeking ways to identify the vulnerable to provide timely support and reduce service demand? …a HR professional wanting to retain staff & create a rewarding place to work?
- 6. Organisational challenges > Data is fragmented across systems, departments and organisational groups > Data often resides on and off premise, in structured and unstructured repositories. How does your organisation deliver, timely, relevant information to support decision making? > What is the best care plan for this patient based on age, condition and location? > Which staff members are succeeding in work and how can I retain them? > How do I make my students better, self determined learners? > Which child in my workload is at a higher risk due to changes in their circumstances? Answer: Build insights across your data repositories HR Finance CRM DevOps ERPTraining Tweets
- 7. Our successful University use case Using HP IDOL, Solutionpath has successfully built an insights platform that delivers better outcomes for students and direct bottom line value worth £millions › How can we support students that need help, even if they don't know they need it? › How do we limit student withdrawal to ensure that £9,000 per student per year remains in our bottom line? › How can we use data to support our front line decision making? “How am I doing? Could I do better? My tutor is so busy and has limited time” “Which students need my help? And when do they need it the most to ensure the best outcomes?”
- 8. Video Testimonial Nottingham Trent University
- 9. Demo Content The following slides describe the general themes covered in the demonstration
- 10. Management of organisational risk Objective catagorisation - based on data not opinion - with rapid access to those that need intervention Satisfactory Engagement 21% The solution collates data into ‘Risk Rating’ categories - by year, faculty, course or any logical group - and allocates a current risk rating for that day. It can categorise: > Employees at risk > Children at risk > Risk conditions based on complex changing environments
- 11. Personalised and contextual insight › Receive an objective, 360º view of your students. › Easily accessible data allows institutions to view interactions across the physical and virtual campus. › Track student progress against a particular cohort. › Add additional data sources with ease to meet future requirements.
- 12. The student analytics process › Student becomes involved in Freshers Week (off campus) and shows as a flatline. › An alert is sent to the tutor prompting intervention. › Notes are added to the system and the university witnesses an upturn in engagement.
- 13. Benefits realisation 1. Improved student and tutor engagement › Enriched conversations › Allows tutor to target those that need support › Time spent on activities that matter increases 2. Objective measurement of what matters to all students › Offers standardisation and insights to good practice › Centralisation of records for 360º view and single source of truth 3. Early interventions ensures better outcomes › Academic performance improvements › Reduction in ‘crisis’ recovery › Improved retention
- 14. Contextualise the solution to your function * Students = Employees * Student = Child in care › The same digital footprint from a student journey can similarly be related to a health care or employee journey › What care routes are most effective for certain people or circumstances? › What does the digital footprint for a successful, retained member of staff look like?