{"id":1508,"date":"2022-07-26T14:07:21","date_gmt":"2022-07-26T14:07:21","guid":{"rendered":"https:\/\/quantiv.com\/?p=1508"},"modified":"2023-09-26T08:59:22","modified_gmt":"2023-09-26T08:59:22","slug":"what-is-small-and-wide-data-and-why-does-it-matter","status":"publish","type":"post","link":"https:\/\/quantiv.com\/what-is-small-and-wide-data-and-why-does-it-matter\/","title":{"rendered":"What is small and wide data, and why does it matter?"},"content":{"rendered":"
\"What<\/span><\/div>

\"ChrisChris Conway
\nChief Architect, Quantiv<\/p>\n<\/div>

By 2025, 70% of organisations will shift their focus from \u2018big\u2019 to \u2018small and wide\u2019 data, according to predictions by technology research firm Gartner. The company believes this change will provide better operational data, more context for analytics, and make artificial intelligence (AI) less data hungry.<\/p>\n

So, what is small and wide data<\/a>, and how is it different from big data?<\/p>\n

But first: what is big data?<\/h3>\n

If I could describe big data<\/a> graphically, it would be as a blob. It has no clearly defined shape or even edges, but somewhere within it there could be a hint of a recurring pattern of interesting data.<\/p>\n

In the big data set, discovery of a pattern isn\u2019t guaranteed. In other words, the purpose of collecting the data is to find a pattern (in fact, any<\/i> pattern). The aim isn\u2019t to collect instances of a specific<\/i> pattern.<\/p>\n

Equally, there\u2019s a lot of noise in the data and it may not include all examples of the pattern.<\/p>\n

In terms of data collection, to be able to find a pattern you need data to be wide-ranging (i.e. big) because you don\u2019t know what you\u2019re looking for. But you don\u2019t need the data to be complete. Plus, it can be made available long after the event that led to it.<\/p>\n

To put it another way, you want to collect as much data as possible to give yourself the best chance of finding the pattern. But you don\u2019t mind if a few examples are missed, or the data is late.<\/p>\n

The benefits of small and wide data<\/h3>\n

That pattern could then form the basis of more deliberate<\/i> collection. And although you would be looking for the same pattern, its collection would be different.<\/p>\n

Once a pattern has been identified, the process of monitoring<\/a> it is where small and wide data comes into play.<\/p>\n

For operational purposes, the data must be complete and timely. But while it needs to feature references to all relevant dimensions (i.e. wide), it shouldn\u2019t include examples that don\u2019t match the pattern (i.e. small\/no redundant data).<\/p>\n

To collect small and wide data, you need a very different approach from the collection of big data. That\u2019s because you care about what you\u2019re specifically<\/i> looking for and that you\u2019ve found all examples.<\/p>\n

Gartner\u2019s predictions<\/h3>\n

The Gartner<\/a> analysts said disruptions such as the Covid-19 pandemic had caused historical data that reflects past conditions to quickly become \u201cobsolete\u201d, which is \u201cbreaking\u201d many production AI and machine learning (ML) models.<\/p>\n

Jim Hare, Distinguished Vice President at Gartner, urged data and analytics leaders to turn to small and wide data.<\/p>\n

He said: \u201cTaken together they are capable of using available data more effectively, either by reducing the required volume or by extracting more value from unstructured, diverse data sources.\u201d<\/p>\n

Quantiv: champions of small and wide data<\/h3>\n

At Quantiv, we\u2019re already advocates of small and wide data.<\/p>\n

Our NumberWorks<\/a> method can help you formalise the definition of the interesting patterns in your data. And our NumberCloud<\/a> platform uses these definitions to support the collection and exposure of the information that matches these patterns.<\/p>\n

Want to find out more? Call us on 0161 927 4000 or\u00a0email:\u00a0info@quantiv.com<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

By 2025, 70% of organisations will shift their focus from \u2018big\u2019 to \u2018small and wide\u2019 data, according to predictions by technology research firm Gartner. 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