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Disruptive (Big) Data Predictive Analytics

Solutionpath - HPE Discover 2015

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Disruptive (Big) Data Predictive Analytics

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Disruptive (Big) Data Predictive Analytics2

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

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

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?

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 repositoriesHRFinanceCRMDevOpsERPTrainingTweets

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 millionsHow 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?

Video TestimonialNottingham Trent University

Demo Content The following slides describe the general themes covered in the demonstration

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

Personalised and contextual insight

Receive an objective, 360 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.

The student analytics processStudent 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.

Benefits realisation1. Improved student and tutor engagement Enriched conversationsAllows tutor to target those that need supportTime spent on activities that matter increases

2. Objective measurement of what matters to all studentsOffers standardisation and insights to good practiceCentralisation of records for 360 view and single source of truth

3. Early interventions ensures better outcomesAcademic performance improvementsReduction in crisis recoveryImproved retention

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 journeyWhat care routes are most effective for certain people or circumstances?What does the digital footprint for a successful, retained member of staff look like?