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CEO @DigitalMR a tech company in artificial intelligence that has cracked the code of unstructured data.

The never ending quest for a single score that predicts future business performance.

How can businesses measure the success of their marketing efforts?

How does their current and future performance benchmark against competitors?

How can they work out, for example, the levels of satisfaction and loyalty felt by their customers?

The rise of social media during the last decade has simultaneously made these questions easier and in many ways more difficult to answer.

On the one hand, the internet is bristling with all the necessary data required to determine how a given business is performing, as customers willingly — even eagerly — share thoughts and opinions which provide insights into such vital issues…

Unstructured data more suitable for business decision-making.

(Image credit: Flatfile) Numbers in Tables=Structured data

While we have been spending more time indoors during the pandemic, the extra data that we’ve produced during that time — the tweets, the Instagram pictures, the product reviews — have taken on an active and highly exploitable life of their own, winging their way into the pockets of companies who can now take advantage of this valuable marketing intelligence — provided they know how to use it.

A rich online life correlates with the production of more and more data, providing companies with direct customer information straight from the horse’s mouth — on what customers want, their likes and…

Dark data remain unused even though at our fingertips!

No one disputes that data is fundamental to business decisions. A company’s ability to gather the right data, interpret it, and act on identified insights is often what will determine its level of success. But the amount of data accessible to companies is ever increasing, as are the different kinds of data available.

Business data comes in a wide variety of formats, from strictly formed relational databases to millions of tweets. All of this data, in all its different formats, can be divided into two main categories: structured and unstructured data.

Structured Data

The term structured data refers to data that resides…

Both brands and individuals need to know it.

Most people prefer order to mess, hardly a surprising conclusion.

A score that enables ranking in multi-player environments provides order and the ultimate gamification. Ideally it should be a composite score. This is a score that combines multiple metrics in one all-encompassing index.

Gamification does not mean turning a serious activity into a game; it is using gaming techniques to provide participant motivation and make the activity more fun overall.

I do like to think of business as a game. Some people take it too seriously, to the extent that it has a pathological effect on them — it affects…

Data Fusion — Data Integration — Data Merge

This piece is about efficient and meaningful ways to integrate unstructured and eventually structured data sources as part of an organisation’s customer experience (CX) measurement or customer management (CM) process — a relatively new more encompassing term gaining ground on CX — in order to discover actionable insights.

Unlike one of my recent articles titled Social Listening — Social Analytics — Social Intelligence, the 3 bigrams in the sub-heading of this article are not part of a continuum, they are synonyms.

Synonyms are words that do not necessarily look or sound alike, but they have more or less the same…

may I add to the list? its specific USP is client data can be ingested and integrated with social media posts and it commits to annotation accuracies above 90% given enough training data.

Same or Different?

Social Listening, Social Analytics, and Social Intelligence — do they mean the same thing or do they describe different disciplines?

Quite a few pundits have discussed this question in their articles, blogs, and essays. The most controversial of the three is social intelligence; if you Google it you will find its Wikipedia definition on first position explaining that it is “the capacity to know oneself and to know others”.

Of course, the alternative definition, the one that was coined after social media monitoring and analytics became popular only appears on page four of Google search — which you would only…

Unstructured data makes up over 95% of all recorded human knowledge.

It was a lightbulb moment during lockdown; a few days after the team completed a piece of work, it suddenly hit me. Online posts from Twitter, Facebook, Instagram, blogs, forums, news, reviews and videos were fused with call centre audio files and survey verbatims in just 3 days, done for the first time and done right. Albeit from very different sources, involving both solicited and unsolicited opinion, this data had something in common — it was all unstructured data.

Consumer online posts integrated with call centre audio and answers to open ended questions from a survey in 3 days.


GameStop is back

After we published our social intelligence sample report and associated blog post on the GameStop Saga at the beginning of February, things started to cool down on the subject. It was one of those events that got a lot more attention than its fair share, mainly because it captured the imagination of the little guy fighting the establishment, or simply because of social media and other online fora disproportionately amplifying the noise.

The stock price of $GME dropped from a high of US$347.51 on January 27th down to US$40.59 by February 19th; then something peculiar happened!

On Wednesday February 24…

8 findings that lead to a different take on the GME saga.

Everyone loves an underdog story, like the classic David and Goliath, or in this case, GameStop and Melvin Capital. Even if you’re not involved in investing, chances are that you heard about the GameStop story, which started on a Reddit community called Wallstreetbets, went viral and spread like a wildfire.

The story started with Gamestop ($GME) but then many other listed companies became part of the same saga i.e. …

Michalis A. Michael

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