Since the emergence of the Internet of Things and the exponential growth of items producing data, discussions and thoughts of how organisations will adapt to locate their advantage in a future characterised by big data has been a heavily discussed topic on the internet. As we know, big data essentially is large volumes of data either structured, unstructured stored by organisations to manage, measure and analyse. Within more recent times, more and more of our daily activities have shifted towards the internet. From communication, shopping and leisure, our data producing and connected activities have further increased the importance of big data for organisations that are collecting data about our daily habits, illustrating patterns of our behaviour rather than beliefs.
Finding this competitive advantage in big data has become essential for organisations, where extra resources and funding have been placed to source, store and analyse big data. With near 2.5 quintillion bytes of data created each day, the potential for organisations that can transform this data into relevant information is significant.
However with the enormous amounts of data circulating within the internet, how can organisations ensure they are capturing the correct relevant data to maximise their growth and competitive advantage? Storing millions of data elements and analysing each can be time consuming even with today’s data analysis systems within CRM, EPR, and PLM. So how can large volumes of only relevant data be sourced by organisations?
While internet search platforms such as Google have been developed to be highly responsive due to being optimized to process and produce high volume of results within a second. However not all results of data produced can be attributed to be as relevant as they could be to a search query, certainly not insightful enough to drive innovation or act as a catalyst to solve critical engineering or commercial business problems.
So what is the potential solution to this? How can big data be sourced and analysed to produce results which are more relevant to your search? Dassault Systèmes EXALEAD offers the opportunity for more refined search results, helping you to create more effective search criteria, and can be the solution to eliminating results that are not relevant to your search. Dassault Systèmes EXALEAD is an intelligent big data solution which can search vast sources of data, identify prices and vendor information, in addition to engineering information stored in CAD drawings, data sheets and 3D Models from PLM. Furthermore the capabilities EXALEAD offers to process, index and access billions of data elements of all types, obtain more relevant and valuable data from the IoT and more. EXALEAD presents the prospect for organisations to discover safely, effortlessly and cost-effectively benefit from big data, in essence to find their unique advantage.
For more information about EXALEAD or the 3DEXPERIENCE platform, please leave a comment below or email the Intrinsys team email@example.com.
CATIA V5 has been revitalised for 2018 and beyond, with the introduction of "Power’By" 3DEXPERIENCE (available February 2018)...