20 December 2022
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Each day more and more businesses are realising the power of their analytics – but with so many people talking about data analytics, it can be hard to cut through the noise. So, what’s missing from your analytics? And what does the future of data really look like? In this article, we discuss the hottest takes on analytics from some of the industry’s leading data experts – from trailblazing business analysts to visionary data scientists.
HOT TAKE 1: Knowing how to use technology appropriately is the biggest challenge data experts face today
Kent Graziano, Chief Technical Evangelist at Snowflake
Kent Graziano (a.k.a. The Data Warrior) is an industry expert in Cloud and Agile Data Warehousing with over 35 years of experience. He’s a strategic advisor to multiple brands and coaches Data Vault 2.0, Snowflake, and data warehouse planning and architecture. In an interview with DataManagementU, he shared the best piece of advice he’d been given in his data career so far:
The rapid pace of technological change challenges us all […] Not every innovation needs to be adopted in every company. We need to learn to focus on using technology appropriately to solve real problems.
But how do you identify which tools bring value, and which just add unnecessary complexity? Graziano suggested that improved education was the first step, and we might be inclined to agree! Vizlib puts data literacy at the heart of our powerful analytics tools, so you can garner valuable insights without getting lost in the mix.
HOT TAKE 2: Real-time data and analytics will be the most valuable big data tool in 2023
Bernard Marr, world-leading business data and technology advisor
With a slew of high-profile organisations under his advisory belt (including Cisco, IBM, Toyota, and The United Nations), Bernard Marr is an international expert in digital transformation and Business Intelligence. In an article he wrote for Forbes, Marr named real-time data and analytics as one of the top analytics trends he expects to see in 2023:
When digging into data in search of insights, it’s better to know what’s going on right now – rather than yesterday, last week, or last month. This is why real-time data is increasingly becoming the most valuable source of information for businesses. […] As more organizations look to data to provide them with a competitive edge, those with the most advanced data strategies will increasingly look towards the most valuable and up-to-date data.
Marr cited use cases ranging from Facebook’s battle against fake news, to South Africa’s Kruger National Park and its real-time poacher alert system. Real-time data are also now being used to help curb locust swarms – which threaten up to 10% of global food supply. The shift towards real-time analytics is undeniable, and a visual analytics solution like Vizlib – with its real-time insights and instant reporting – can help keep your business ahead of the curve.
HOT TAKE 3: The future of data is less code, more insight
Carla Gentry, Founder and Senior Data Scientist at Analytical-Solution
Saving the hottest take until last! Carla Gentry is a data scientist with 19+ years of experience with Fortune 100 and 500 companies including Kellogg’s, Kraft, and Johnson & Johnson. In an article she authored, she discussed how analytics might not be the be-all-and-end-all that some organisations think it is.
Data science [is more] than just analytics. What really matters in data science is the team effort and your role as a liaison. […] If your audience is the C-suite of a multi-million dollar company, you’re going to need everything you have to back up your conclusions. Be able to prove it and be prepared for questions.
Understanding your data, its context, and the audience you are speaking to is crucial for gathering valuable insights. And even then, you need to ensure the tool you are using is up to the challenge. That is why we developed Vizlib Self-Service for all types of users – from those with few technical skills, to data scientists, software engineers, and super users! We help people explore their data independently and discover meaningful insights faster.
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