big data
not going to be of much use to a UK team in 2016 , for example . Data teams must have systems in place to check the provenance of data across a range of business systems to ensure that only relevant information is used .
Finally , customers expect an ' always on ' experience , so it ' s critical that systems push updates out to the relevant business units as quickly as possible . Companies need to ensure their data processing is efficient and intelligent enough to filter out unwanted data points and deliver results quickly .
Businesses need the capacity to engage with their customers and adapt to accommodate their needs . Knowing how changes to their services are being received and how their customers like to be communicated to , is critical to retaining a loyal and long-term client base . Without the insight they can gain from better understanding data , business will not only drive customers away , but will fail to innovate and provide new services and products to drive revenue . Making a more concerted effort to act on data insights will drive customer service improvements and also increase the efficiency of feedback systems when conducting trials of new systems like online support , automated communications and business applications or portals .
The Key to Success There are three key practical considerations when it comes to implementing a data-led business model . Future proofing the business and making it customer-centric relies on data visibility , data quality and the speed with which that data can be accessed .
Businesses of all sizes , operating across all sectors , need a holistic view of their customers ' information and interaction history , no matter where those data points are generated , in order to consolidate and analyse it effectively . A major consideration also includes ensuring that data isn ' t several years old or applies to another country . In other words , businesses need to ensure they are gathering only top quality data - insights into , say , France in 2009 , are
Businesses and Big Data In order to not only survive , but to reap the rewards of a comprehensive intelligent data strategy , organisations need to have the capacity to turn data into actionable insight , at speed . After collecting and storing data , they need to apply data analytics and mine the influx of everyday data that ' s pouring in .
Customers expect businesses to give them the right information at the right time to help them make decisions . In the new age of customer-centricity , ease of use should be at the heart of every organisations ' business strategy . Listening to and acknowledging what customers what , when they want it , and how they want it is critical to retaining custom and attracting new business .
Customer trust is easily damaged , and impacted by anything from poor communication to lacking usability . Organisations need to wake up to the benefits of data analytics and prepare themselves to improve the way they manage data across all business touch points . Customers need to feel empowered and understood to remain loyal . Digital is becoming the backbone of customer-centricity and intelligent data use is what will drive both business value and revenue .
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