Transforming the world of data
The traditional world of business, commerce and connections has changed. Geographic boundaries and traditional market barriers have become increasingly meaningless as the business world becomes increasingly flattened.
It has become a level playing field wherein most, if not all, competitors are granted an equal opportunity for success. A garage startup can disrupt the market if it hits the sweet spot of being the right product at the right time.
Empowered consumers, clients, colleagues, partners and suppliers are able to and expect you to connect to wherever you are and whenever they want, trusting organisations with their PII (Personally Identifiable Information) in return for an experience that is relevant to them at that point in time.
Organisations, regardless of size or locale, need to empowered by data and technology – not exposed to complexity and compliance issues, and restricted by cost and capability - to deliver, secure, real-time experiences that engage and build trust with customers.
To create value and generate revenue from your data, delivering customer and employee experience, innovation and growth for the future, organisations first have to get control over their data and systems.
Fl@World is the data ecosystem technology that enables you to get control of your data today, so you can capitalize on the value of data, tomorrow.
Create Hyper-Personalised Customer Experiences
Omni-channel engagement can drive % uplift. Understanding that the customer may exist in across a wide range of entities, the opportunity and challenge is how to recognise and understand the individual and drive deeper engagement. Creating the hyper-personalised, real-time, secure experiences that customers expect.
Optimise Supply Chain
With many suppliers and distribution/logistics channels - even if there are large ERP platforms such as SAP - there is lots of data flowing between suppliers, partners etc. This can be exacerbated with mergers as the business goal is normally to optimise efficiency, from unified buying to resource sharing there are tens to thousands of spaghetti data flows and ad-hoc processes.
Staff retention and engagement, where engagement is delivered digitally via web or app experience can require a lot of data integration, and in particular it requires a number of systems to communicate in real-time. Deliver customer experience standard employee experiences, and align employee experience with the customer experience.
Analytics/ Machine Learning and AI
Data provenance and chain-of-evidence is essential for everything from Analytics to Machine learning and AI to a) understand where the data came from and b) understand the quality of the data to take action based upon timely, reliable and trusted data.
Personally Identifiable Information (PII)
With the advent of Governmental regulations such as GPDR and a increasing awareness of data from a consumer perspective, having extremely strong security, controls, transparency of data use and compliance reporting is a company ending/damaging scenario for companies that do not have this in place. The vast majority of companies do not. Rather than just being viewed as a compliance challenge, this can also be pivoted to actually include the customer in dialog and ask for more data with the caveat the their (the customer’s) data will only used with their permission.