Using business goals to identify data analysts

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The value of data has transformed many organisations today. In my view, organisations now have a better understanding that if data is used correctly, it can add great value to overall business and bottom line. In fact, according to recent research I came across, 46 percent of organisations have said that they are increasing their headcount for data analysts this year. This is great news, because businesses need people that understand the language of data. However, prior to organisations looking for the ‘right’ data analyst or team for their business, they still need to get to the core reasons around what they would like to get out of their business data, to ensure this expert adds real value.

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Information and Analytics – is it a business hinderance?

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In the Business Intelligence (BI) world, as BI experts, we tend to understand and think about the value of information and analytics slightly differently to the rest of an organisation – given we have a passion for data and the value it holds.  We also understand information and analytics to be a competitive driver – the revenue specialist for a business and a game changer of organisational culture.

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The business value of data analytics

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For many organisations, it takes time to digest what data analytics is or whether it is worth investigating. As a BI consultant, this was interesting to watch as we understand that using technology to increase competitive advantage is nothing new – however the adoption of this technology is.  So, while perceptions around data analytics adoption is still growing, I believe that there is still much we can expect to see from this technology in the future.

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Trend Alert – Customer Data Platforms

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Recently you may have heard – from your business network or circle of marketing friends – that Customer Data Platforms (CDPs) is the new ‘black’. Can a CDP really be an all-rounded solution to marketing’s most pressing problem, when it comes to enhancing customer experience?

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Sports Analytics

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The utilisation of analytics in the sports sector is rapidly increasing. As a keen sports supporter I find this fascinating. Personally I think it’s one of the biggest growth areas for analytics.

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Two Key Areas of EIM

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Following on from my previous blog on the topic of Enterprise Information Management, I now focus on two specific areas of EIM, namely data governance and data quality management, which should be key focus areas for businesses in 2017.

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Information Management in 2017

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They say that information is the oil of the 21st Century, and analytics the combustion engine. This infamous quote, by Peter Sondergaard, is often shared at industry events, to remind BI experts of the importance of enterprise wide information management.  While I completely agree with this sentiment, I still find that far too many organisations view data as too overwhelming and difficult to manage.

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HR Analytics

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“I want HR analytics for my HR department!” In my experience of consulting to clients at various stages of analytics maturity, across different industries in different countries, I have noticed that on a strategic level very few organisations are really implementing HR BI, never mind HR analytics. These are typically the organisations that have realised that their people are actually their biggest asset. How do we get the CIO and/or the CDO on board?

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Big Data – Round 2

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If you had told me a decade ago that big data was going to get bigger, I may not have believed you – given that most IT terms are often surrounded by so much hype, and given that growing data types and volumes is, in fact, nothing new. Many people thought this ‘fad’ would not last, and were watching its development and adoption with cautious suspicion. However, come today, many top level executives are realising that big data may already have become critical to their business growth.

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