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Our service enables us and you to explore in detail how predictive science can benefit and impact your business, often revealing unforeseen opportunities, sometimes disruptive to your industry.
Predictive Science
Overview
Predictive science solutions utilise advanced technology to a achieve a desired outcome, quicker that traditional methods. The breadth of business functions which can be impacted is extensive, therefore predictive science should be considered in all business process, system or people changes in 2020 and beyond.
Features
- Complete a domain deep drive with a data scientist, identify opportunities to implement data science technology to deliver business value.
- Envision ideas using advanced techniques including user personas, empathy maps & event storming.
- Analyse Data Requirements to define data stores needed and solutions to overcome any technical constraints.
- Create a Predictive Science Canvas, a business-oriented plan on a page to realise test a hypothetical opportunity.
Benefits
- Identify specific opportunities to apply predictive science to achieve defined business outcomes.
- Test hypothesis and build stakeholder support to for a pilot program
- Improve understanding of what predictive science can do for you
- Introduce advanced modern data science technology, begin adoption within your business.
How it works
Our service enables us and you to explore in detail how predictive science can benefit and impact your business, often revealing unforeseen opportunities, sometimes disruptive to your industry.
Analysis is completed to validate the proposed hypotheses to achieve a specific business outcome, so you can plan and complete a pilot program, which will ultimately become a live implementation of predictive science in your business.
What you get
Typical business outcomes achieved include:
•Process Automation - faster, quicker, cost effective modification of existing processes, or implementation of new ones. Supercharge your workforce.
•Improved user experience - with business touch points through dynamic, tailored experiences.
•Insight generation - through business intelligence analysis of big disparate data sets.
•Incremental value - releases through identifying previously unknown or untapped business value.
•Improved Data Maturity - better data which benefits the entire organisation.
•Predictive science understanding - introducing predictive science into a business improves awareness, ensuring it is embedded into business thinking in the future.
•Build a better understanding of where predictive science can be applied in your business to achieve real ROI
•Better Decision Making - Informed through data
WHATS INCLUDED IN THE PACKAGE
An exploration workshop will help us understand and define the opportunity for implementation of predictive science, then a 4 day analysis cycle will validate the feasibility of the proposed solution.
One Day Workshop
An exploration workshop will help us understand and define the opportunity for implementation of predictive science.
Predictive Science Canvas Generation
The objective is to critically investigate, and report on anything that seems likely to be a bug or an issue.
Feasibility Analysis
Our process ensures the business, data, modelling and evaluation of all elements of the predictive science solution are well defined and understood.
4 Day Analysis Cycle
A 4 day analysis cycle will validate the feasibility of the proposed solution.
Detailed Post Analysis Report
We’ll present the findings from the data analysis cycles in the form of an interactive presentation.
Summary Workshop
This enables us to discuss the results, quantify the business that will be achieved from a pilot programme align stakeholders to recommended next step
Pilot Development Proposal
Practical steps advising on how to move forward with your project.
Customer Use Cases
Short stories of where of Data Science magic has helped organisations to transform
EXAM DEMAND FORECASTING & OPTIMISATION
INTELLIGENT QUESTIONNAIRE SERVICE
Start your Data Science project today
Predictive science is a relatively immature discipline in many organisations, understanding how it can be beneficial to your business, how you can apply it, and how to technically implement the solutions required requires combining data science best practice approaches with tradition design, data & development capabilities.
