The business doesn’t care how you solve a problem. They just care about it being solved!
InfoCentric has a practice of experienced data science consultants dedicated to assisting customers to build their capabilities and solve real-world business problems.
Our practice is centred on the most pressing data science & ML problems facing data leaders today split into our three key service areas – Solution Development, Consulting/advisory and Specialised Resourcing
Using our maturity model for assessing your capabilities, we help organisations journey from descriptive and diagnostic to predictive, prescriptive and intelligent analytics. Moving from defence to offence.
We spend time analysing your specific use cases to streamline your operations and drive business insights – and securing you greater value in the long term.
To rapidly build data science solutions, we embrace an iterative development and design approach which is often not linear in practice as we refine our solution.
Begin with a clear business need:
We incorporate design thinking and business casing methodologies in our analysis to reduce risk by evaluating the likely paths to end states.
Define how your solution will be deployed and it will meet your end user needs:
To realise a significant value return Data Science solutions need to be deployed on a cloud platform to scale user benefits, enable MLOps and support accessibility across an organisation.
Fundamental to our Data Science and ML practice is focusing on answers to the key problems facing our customers today:
We have three categories of engagements that we use as guides to co-design the best engagement to fit our client’s specific business challenge or resource needs.
Solution Development and Implementation
We rapidly create a working prototype which is then refined with your data into an effective solution fit for your specific needs and systems to achieve your goals.
Customer Propositions and Business Optimisation are two of the most valuable areas for an organisation to deploy Data Science due to the scale of impact and ROI potential from optimising costly resources.
We analyse your customers behaviour, profiles and interactions to identify opportunities to deepen your relationships with personalization and predictive models.
We improve business performance through optimization of resources & leveraging predictive modelling to enhance decision making .
Opportunity Mapping, operating models and ML Operations best practices
We support your team to deliver faster, more impactful data science projects leveraging our industry experience and delivery frameworks.
Data Science Managed Teams and Specialist Resourcing
We have deep expertise that can supplement your own internal capability across multiple data platforms that include Snowflake, Data Bricks, Azure, AWS and GCP.
Beyond delivering cloud data and analytics transformation, InfoCentric supports clients with specialist data resourcing assistance for ad-hoc projects, capacity uplift, or long-term resource-based partnerships.
We work with your management team to co-create the best resourcing model to fit your current capability needs and support your long-term goals.
Although each organisation may have different ML deployment capability, common best practices apply to all teams for standardising processes and technology capabilities for building, deploying, and operationalizing ML systems rapidly and reliably.