What did you bring to the #drivenbydata Summit?
My focus at #DrivenByData was to cover the idea that Analytics is for the People. More empowerment. Better context. Great data-driven decision-making should be democratized to everyone.
In your opinion what are the most important challenges and opportunities presented by Big Data and the Internet of Things concerning business?
Business users are still underpowered in terms of their direct ability to take advantage of data in their decision-making processes. This is both the most important challenge and the biggest opportunity that product and service provider in the Big Data, Analytic, IoT arena. At the same time, security concerns around data spillage are preventing organizations from really building a ‘culture of data’ from within.
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What is / are the biggest misconception(s) about big data in your view?
The biggest misconception about big data is the notion of big. All data in various sizes and forms matters. The importance of data is not just the size of data but what insights you can derive from it.
There’s a difference between data science and data intelligence – how do you see this?
I think data science, data analytics, and business intelligence are more of a continuum of work vs. separate, discreet tasks.
Big data is causing enterprises to find new ways to leverage information sources to drive growth. What are your suggestions?
Focus on analytic decision-making. Keep a ‘diary’ of what decisions you made with data (big, small, and everything in between). The most important thing about data is how you use it for a possible analytic decision.
How can you use big data analytics or large and complex datasets to predict future customer behaviors, trends and outcomes?
The blending of internal, external, 3rd party, cloud sources help deliver far richer tapestry for understanding consumer behavior, social media sentiment, and outcome modeling. We are really focused on delivering these capabilities to business users, in particular, the data analysts that have been vastly underserved in their analytical needs.
With the amount of data increasing exponentially how can businesses sustain an information and analytics capability?
Reflecting the wider priorities of the business landscape overall, agility and efficiency are critical to working and coping with the surging volumes of data that organisations now analyse. This means that speed is key. In fact, according to Alteryx research, 72% of business and analytics leaders aren’t satisfied with how long it takes to get the insights they need from data. Despite strides forward, it still takes too long to process and analyse. According to 90% of these leaders, the ability to bring together and blend data from various sources is the main cause. With analysts and decision makers drawing on information in data centres, cloud apps, and even Excel spreadsheets on their desktops, the ability to blend these sources is vital, and this is very time consuming for many businesses. This is where Alteryx delivers immediate value to its customers, through its intuitive drag-and-drop, code-free interface. Data blending no longer needs to take days or weeks, but minutes or hours instead.