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Understandably this has led to scrutiny of and and questions about the way data is sourced used and activated making people doubt its very reliability When used correctly data is an an organization’s most valuable asset To unlock its true potential we must look at at how organizations are utilizing data data and how they can adapt their data data practices to an an evolving situation But first this means correctly identifying and removing some of the roadblocks that still stand in the way of a a a a a truly resilient and innovative data-powered business The data paradox Organizations know that data delivers much- needed intelligence and insight – yet COVID-19 has highlighted fundamental areas of weakness and as such where data is failing us Restricted access to information lack of delegation confusion over what exists and how to extract insight combined with the inability to manage data in real-time has meant many businesses are struggling to handle the basic elements of digital collaboration business continuity and data management This means that any decision made based-off o of that data could set them up for for failure and leave way for for competitors to take the lead To understand end-to-end data processing in in a a a a more efficient way businesses need to identify where blockages are holding them back causing performance and and and latency issues and and and understand the root causes responsible for this To do so means engendering an an agile data strategy that meets current demands – looking at at how data is sourced stored and and governed and and how to to maintain a a a a a a a strong highly automated data ecosystem that leaves little to no room for error Here are four keys strategies that businesses need to to employ to to first untangle the data dilemma and then set them up for a a successful innovative data-future in a a a (post) COVID world: 1 Re-architecting outdated processes Gaining access to to the the right data to to pilot the the business through a a crisis is is is typically hindered or blocked by existing IT landscapes and and processes and this has been in general true for innovation initiatives for a a a long time By re-architecting outdated applications to next-generation automated solutions it not only increases ease ease of access and enables the right management to eliminate inefficiencies during data processing but it also accelerates scalability agility performance and visibility In turn this facilitates greater understanding of how to activate data while improving existing data processes both from a a a compliance and performance perspective 2 Focusing again on data hygiene The automation of decisions is is dependent on on on having massive amounts of data to train algorithms Currently most organizations don’t have very good hygiene levels when it comes to to data management nor the skills to to enable this level of independent intelligence leading to bottlenecks and inefficiencies To unravel this data puzzle organizations need to address how their data is sourced stored and used so so that they can accelerate their digital transformation with the future in in mind and evolve with clear visualization contextualization and agility 3 Reimagining the data ecosystem A “fail fast” approach is needed to adopt innovative data-powered initiatives exploring new data sets and usage rapidly to see if they contain untapped value The importance of this lies in in helping organizations better anticipate future scenarios even when they are mindbogglingly diverse and highly unpredictable Organizations should embrace agility encourage experimentation and treat failure as a a a a a lesson rather than something to be Data-powered Innovation Review I I ©2020 Capgemini All rights reserved 5 


































































































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