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  • automationvalue

    According to the 2019 Gartner fourth annual Chief Data Officer (CDO) Survey, the implementation of a data and analytics strategy was ranked the third most-critical success factor when it comes to a CDO’s organisation.

    When it comes to data, we’re all aware of the four ‘Vs’ – variety, velocity, veracity and volume – yet for many organisations, their data warehousing infrastructure is no longer equipped to handle them. Additionally, value, the fifth ‘V’, is even more elusive. So, taking into account the scale of data that many modern companies have means that meeting these challenges requires a new approach – with automation being the foundation.

    The post Automation – the bedrock of creating value appeared first on Techerati.

  • When did Weather Source first hear about Snowflake Data Exchange and decide to get involved?

    Snowflake first popped into our mind when we read an article following the massive amount of funding it had secured. And after looking a little deeper, we found that Snowflake’s solution was ideal for our data requirements. In late 2018, our VP of business development contacted Snowflake to discover Snowflake’s proposition of an innovative data marketplace where data providers such as ourselves could showcase our data offerings.

    The timing was perfect as Snowflake hired a new Director of Data Sharing, Bryan Naden, who explained the ambition of the Snowflake Data Exchange (SDE) and it instantly struck a chord with us. It was his priority to onboard data providers in advance of the SDE rollout, so we were at the very forefront of this exciting new data initiative.

    The post CEO Q&A: How Weather Source uses Snowflake Data Exchange to share climate data faster appeared first on Techerati.

  • The future of business and organisations is ecosystems of partners and even rivals coming together and sharing data and systems in a responsible, secure way.

    The post Fun, data and airport experience appeared first on Techerati.

  • Despite a significant amount of investment into analytics programs, many of which are enjoying decent returns, older companies burdened by legacy processes are failing to unlock the true power of analytics.

    The holy grail -- applying analytics to create harmonious and continuous improvement in operational efficiency across all business functions -- is frustratingly out of reach.

    In an interview with Techerati, Jens Winterberg, Global Analytics & Innovation Manager at Nestlé, put forward his two cents about why older companies struggle to capitalise on data’s possibilities.

    The post BDW Frankfurt 2019: Why traditional companies should put analytics at the centre appeared first on Techerati.

  • The market has long demanded quicker and more convenient payment methods, and the industry is now answering with ubiquitous payments. Yet at what cost? PSD2 and open banking are now established in the legislative framework, and many third-party providers are springing up with new offerings that democratise access to payments and offer complementary value-added services.

    Banks and other financial organisations are already seeing a surge in the volume and value of electronic transactions through digitalisation. And new channels, like PSD2, are set to exacerbate the pressure on existing fraud defences. Faster payments, through SWIFT gpi and other means, virtually eliminate the window of investigation. And, therefore, necessitate automated real-time detection.

    The post Identity and AI: The recipe for a strong fraud defence appeared first on Techerati.

  • While machine learning has transformed many industries over the past decade, one area that is still playing catch-up is insurance. It’s a sector used to finding itself trailing behind other industries’ tech adoption, where high running costs of legacy systems squeeze budgets to such an extent that it’s hard for firms to stump up the cash necessary for driving innovation. While online comparison services have proliferated in recent years, signing up to and managing the policy invariably involves the pens, paper, and printers that other digitally-transformed industries have long since left behind. 

    The post Big Data World Asia: Machine learning in insurance, with Munich Re’s regional head of data analytics appeared first on Techerati.

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