The Next Wave of BI Disruption by @rickythomas888 looks at the current trends & how to get prepared. Will you be r… https://t.co/4sAa4cQ5Zw

BI Isn’t Optional: Riding the Next Wave of Disruption

Analytics and business intelligence (BI) are now considered the most important technology for organisations to differentiate or win, according to Gartner’s 2018 CIO Agenda survey. Twenty-six percent of executives cited BI as crucial, compared to just 10 percent who backed cloud services and 6 percent for mobility.
RT @AVORA: With the right approach and partnership, a successful proof of concept can deliver real impact to your business. Here are your 8…
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8 Key Factors to a Successful Analytics Proof of Concept

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n Investing in a comprehensive proof of concept can be an invaluable tool to understand the impact of a business intelligence (BI) platform before investment. 64 percent of CIOs at the top-performing organizations are very involved in analytics projects, according ton Gartner. In a competitive environment where analytics and BI is a business advantage, understanding the real-world impact of a solution is key.n
nMore than any other sector, Media is at the forefront of the big data revolution. Not only is it  examining, analysing and  managing data that is fractured and diverse; there is intense pressure in capturing and turning this (in near realtime) into actionable intelligence to inform buy/sell decisions and even predict market fluctuations that are essential to this industry. But this process is getting more complex, more costly, less insightful and no where near the real-time that is needed for brands, agencies and marketers to deliver against their client’s requirements.nThis is the last of a 3 part blog series on the Challenges for Media in 2018.
A single source of unified data powered by Machine Learning is transforming data analysis for Media Agencies @AVORAhttps://t.co/1j93SCR3DG
nMore than any other sector, Media is at the forefront of the big data revolution. Not only is it  examining, analysing and  managing data that is as fractured or diverse; there is intense pressure in capturing and turning this (in near realtime) into actionable intelligence to inform buy/sell decisions and even predict market fluctuations that are essential to this industry. But this process is getting more complex, more costly, less insightful and no where near the real-time that is needed for brands, agencies and marketers to deliver against their client’s requirements.nThis is the 2nd of 3 part blog series on The Challenges for Media in 2018.
RT @thejulianjohns: AVORA in full swing @BigDataWorld_ Don’t forget to visit @AVORA at Stand B3030 in Hall 9 #BetterBI @ExCeLLondon https:…
nMore than any other sector, Media is at the forefront of the big data revolution. Not only is Media examining, analysing and managing data that is fractured & diverse; but it is under intense pressure ito capture and turn that data  (in near realtime) into actionable intelligence to inform buy/sell decisions and even predict market fluctuations. As a process, this is getting more complex, more costly, and failing to generate the resal-time insights that brands, agencies and marketers require to deliver against client’s requirements.nThis is the 1st of a 3 part blog series on the Challenges for Media in 2018.
nThe 5 questions you need to ask about your Data Strategy