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# Data Analytics

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- [XML Sitemap](https://dataanalytics.com/sitemap.xml): Contains all public & indexable URLs for this website.

## Posts

- [If Oils Ain't Oils then KPIs ain't KPIs either](https://dataanalytics.com/2015/10/if-oils-aint-oils-then-kpis-aint-kpis-either/) - KPIs are like fire: they are very powerful, but if you don’t use them carefully they will burn you and your organisation. An honest look at the use of KPIs in practice leads to a number of pragmatic suggestions which can vastly improve the positive impact of these powerful creatures and avoid their many pitfalls.
- [The Parable of the Wet Driveways](https://dataanalytics.com/2015/09/the-parable-of-the-wet-driveways/) - All throughout the land, scientists laboured to find a way to detect when it had rained. If it rained only sometimes, it was useful: crops would grow, dams would fill with drinking water and house roofs would be clean. But, if it rained too often: floods would come, crops would rot and houses would grow
- [A Tale of Two Managers](https://dataanalytics.com/2015/09/a-tale-of-two-managers/) - Once upon a time there were two managers, from different firms, who each ran a section expending $20M per year to produce their outputs. They both wore glasses, they both spoke well at large gatherings and both were well liked by their respective senior executives. Not rising hot shots, but solid performers that no doubt
- [How much does a Bad Hire Cost?](https://dataanalytics.com/1999/03/how-much-does-a-bad-hire-cost/) - This article was first published by the International Personnel Management Association Assessment Council (https://www.ipacweb.org/ - now IPAC) in 1997. It was first published on www.dataanalytics.com in March, 1999. Much of the content is still relevant today. Get your copy here.
- [Creativity, Age & Experience: Do They Correlate?](https://dataanalytics.com/1999/03/creativity-age-experience-do-they-correlate/) - Just how old were Einstein, Newton, Picasso, Mozart and other geniuses when they made their groundbreaking discoveries? ..and what are the implications for creativity and innovation in your organisation? The following article was published on dataanalytics.com in March, 1999. It has been cited by executives, consultants and academics around the world. It was originally published
- [Measuring EEO Performance](https://dataanalytics.com/1999/03/measuring-eeo-performance/) - This article was first published on dataanalytics.com in March, 1999. It includes tips on making effective KPIs for any domain. It also includes a number of recommended KPIs for an EEO function to prove its business impact objectively. Get your copy here.
- [RISK MANAGEMENT: ISO31000 Better, but still not there yet!](https://dataanalytics.com/2011/02/risk-management-iso31000-better-but-still-not-there-yet/) - Australia has long been blessed with an excellent Risk Management Framework (currently AS/NZS ISO 31000:2009). In fact, the International Standard Organisation’s own Enterprise Risk Management Framework Standard borrows heavily from it. However there are still some basic conceptual errors and difficulties that the process and framework neglect. This article first published in 2011 outlines some
- [5 Myths of Big Data - Sept 2013 CEO Australia Article](https://dataanalytics.com/2013/09/5-myths-of-big-data-sept-2013-ceo-australia-article/) - Data Analytics has recently published an article in Australia’s latest CEO Magazine called “5 Myths of Big Data”. The article explores the current industry focus upon technology solutions and recommends that CEO’s intending to start exploiting the data opportunities around them should start by obtaining the access to people with the right skillset. It also highlights
- [Data Analytics Announces Informatica Partnership](https://dataanalytics.com/2021/03/data-analytics-announces-informatica-partnership/) - ANNOUNCEMENT: Data Analytics has accepted a Silver Partner offer from Informatica. WHO IS INFORMATICA? Informatica is the world’s leading provider of data integration, ETL (extract, transform & load), integration platforms, data quality, meta-data management and master data management solutions & has been for many years (see Gartner Magic Quadrant reports in each category). WHO IS
- [Enterprise Risk Assessment: the forgotten methods](https://dataanalytics.com/2021/02/enterprise-risk-assessment-the-forgotten-methods/) - Risk management has gone through various stages in its lifetime. During the early 2000s, risk management started to get more generically formalised beyond those specialist areas of risk control in domains like insurance, engineering and finance. We had various management standards for risk management including AS/NZS4360, COSO, FERMA, BS31100 and eventually the ISO31000 series. Although
- [Data Science for Long Term Capital and Operational Planning](https://dataanalytics.com/2021/01/data-science-for-long-term-capital-and-operational-planning/)
- [How to get the most out of office "troublemakers"](https://dataanalytics.com/2021/01/how-to-get-the-most-out-of-office-troublemakers/) - You knows those people who are always seemingly disagreeing with the rest. Those people who passionately explain their ideas but lose most of us along the way. Those people who seem frustrated with the status quo and are constantly speaking up inconveniently when you are trying to get alignment across the team. They are outspoken,
- [COVID Death Rates Climbing in Northern Hemisphere again](https://dataanalytics.com/2020/11/covid-death-rates-climbing-in-northern-hemisphere-again/)
- [KPIs ain't everything](https://dataanalytics.com/2016/03/kpis-aint-everything/) - Previous articles in this series about the pragmatic use of KPIs in organisations, are available at the links following this article. This particular article looks at KPIs as part of an overall framework of organisation control. KPIs are part of a wholeKPIs, especially when widely published and/or used to calculate personal bonuses, are an amazingly
- [Users: Transaction Generators vs Information Consumers](https://dataanalytics.com/2016/07/users-transaction-generators-vs-information-consumers/) - When designing enterprise level information technology solutions, a new dichotomy is becoming increasingly apparent: transaction generators vs information consumers. When thinking in terms of single applications we have traditionally thought in terms of business functionality: e.g. an accounts receivable function needs to be supported by an accounts receivable system. It has been standard to rely on
- [Beware of the just-so “Use Case” stories](https://dataanalytics.com/2016/09/beware-of-the-just-so-use-case-stories/) - Us humans love a story that has a nice beginning, some events in the middle and a positive end. And the people who are trying to sell us something know this all too well. These are known as “just so” stories. Everything you need to know about the outcome is assumed to be contained in the story. Here’s
- [Neural Nets: Use with caution](https://dataanalytics.com/2017/01/neural-nets-use-with-caution/) - There has been significant hype surrounding artificial intelligence and neural nets recently and with good reason. AI is superb at learning to respond appropriately to a set of inputs like a stream of video or audio data and handling complexity beyond the capacity of us mere humans. Recent efforts in natural language processing and driverless
- [Traits of a Superforecaster..Hang on that's a top Data Scientist](https://dataanalytics.com/2017/02/traits-of-a-superforecaster-hang-on-thats-a-top-data-scientist/) - I have been a follower of Philip Tetlock, Dan Kahneman, Richard Nisbett, Thomas Gilovich etc for over 20 years and devoured Tetlock's recent Superforecasting book on its release. Tetlock has led a team of forecasters using a combination of crowdsourcing, cognitive bias training, performance feedback and other techniques to outperform a suite of other teams
- [Prediction: Do we need perfection or just to be better than the rest?](https://dataanalytics.com/2017/02/prediction-do-we-need-perfection-or-just-to-be-better-than-the-rest/) - Prediction is a difficult art. There are some questions that include random variables that simply can't be predicted. What will the spot price of oil be at close on June 20, 2017? You may be a fabulous forecaster who takes into account historical trends, published production figures, geopolitical risks etc etc and be more informed
- [Neural Nets that don't stop learning](https://dataanalytics.com/2017/03/neural-nets-that-dont-stop-learning/) - Over the weekend, I was reminiscing over my 1990 copy of Rumelhart and Mclelland's seminal work on Parallel Distributed Processing (its about using backpropagation to teach Neural Nets). It reminded me that most modern efforts have missed the point over the efficacy of using Neural Nets in artificial intelligence. Unlike artificial neural nets, us biological
- [Over-Generalisation of Success: Implications for System Implementations](https://dataanalytics.com/2017/05/over-generalisation-of-success-implications-for-system-implementations/) - One of the greatest problems of the business world today is the over-generalisation of success into contexts where that success is simply not transferable. We then compound that problem by stubbornly refusing to believe we have over-generalised and try to force that model where it just don’t fit. Let’s look at a salient and virulent
- [The Anti- Business Case](https://dataanalytics.com/2017/06/the-anti-business-case/) - Business Cases are one of the most common business documents used today and yet their use is commonly misunderstood. Often business cases are seen as simply "step 4" on the path to a completed a project. Worst of all they are often written by someone who is incentivised to have the project approved. Indeed, in
- [Auto-Compliance: Regulatory Analytics](https://dataanalytics.com/2018/06/auto-compliance-regulatory-analytics/) - The world of big data has certainly revolutionized the areas of marketing, promotion and customer fulfillment (see Google and Amazon respectively) and has also had significant impact in the areas of finance and insurance. Government and regulators, however, really haven't been capturing the benefits of big data a great deal to date. All that is
- [Privacy for Corporations](https://dataanalytics.com/2019/07/privacy-for-corporations/) - Are Corporations People? "Corporations are people, my friend" said Mitt Romney in 2011 during his ultimately unsuccessful presidential campaign against Barack Obama. But we all know that he is not correct. Corporations (or any disembodied entity like companies, trusts, partnerships etc) cannot be embarrassed about an unexplained lump on an inconvenient body part, or feel
- [IT Project Management Discipline isn't working!](https://dataanalytics.com/2019/07/it-project-management-discipline-isnt-working/) - In 1994, Standish group dropped a bombshell on the rapidly growing IT industry by publishing the gob-smacking rate of only 16% successful IT projects in the prior 12 months. They suggested that the reason was a lack of project management discipline for IT projects; akin to the kinds of project management discipline that engineers use
- [What is someone worth to your enterprise?](https://dataanalytics.com/2019/08/what-is-someone-worth-to-your-enterprise/) - Working out what remuneration someone is worth is of enormous interest to both employers and their people alike. But what are the key ways to determine the appropriate compensation for the contribution of current and potential future contributors to an enterprise. I thought I'd jot down some of the main approaches to work out that
- [Avoid the Data Swamp: An overview of Data Analytics' Data Governance Framework](https://dataanalytics.com/2020/09/avoid-the-data-swamp-an-overview-of-data-analytics-data-governance-framework/) - As more and more enterprises create Data Lakes and expand their collections of dynamic and static data, it is becoming more apparent the value that Data Governance brings. Dataanalytics.com's proven Data Governance Framework has been adopted by multiple organisations to improve the quality, reliability, deployability, security and value of their data, data products and data
- [Humans are all gullible..even you and I!](https://dataanalytics.com/2020/08/humans-are-all-gullible-even-you-and-i/) - This article is a reprint from the Illumination eZine on Medium.com https://medium.com/illumination/everyones-gullible-even-you-and-i-51d484f8c5cb Psychology professors know it…Marketers know it…Sales people know it…Politicians know it…Heck, we all know it…All humans are gullible! Including me… and including you! Just think about it: around 30% of the world’s population identify as Christians. That means that Christians would agree that
- [COVID19 Mortality Rates: A Deep Dive](https://dataanalytics.com/2020/07/covid19-mortality-rates-a-deep-dive/) - Jeff Popova-Clark (our Founding partner) has just published another fascinating article on LinkedIn. It is an investigation into why its so hard to pin down a mortality rate for COVID19. https://www.linkedin.com/pulse/covid-19-mortality-rates-jeffrey-popova-clark/?trackingId=nqcFuZpCSfurRWJFm4Phlg%3D%3D
- [Superforecasting: How we can all get better at predicting the future!](https://dataanalytics.com/2020/07/superforecasting-how-we-can-all-get-better-at-predicting-the-future/)
- [Augmenting AI...with humans!!](https://dataanalytics.com/2020/07/augmenting-ai-with-humans/)
- [Data Analytics Partners with IBM and Oracle](https://dataanalytics.com/2013/05/data-analytics-partners-with-ibm-and-oracle/) - Data Analytics is proud to announce that, in addition to its existing partnership with IBM, it has recently become a partner to Oracle and has also been certified to GITC v5 by the Queensland Government (GITC No. 5026). Although none of these changes make any difference to the actual service provided to Data Analytics clients, it does provide
- [Aussie Companies starting to get Big Data](https://dataanalytics.com/2013/05/aussie-companies-starting-to-get-big-data/) - Quantium, a company that started in data analysis a little after Data Analytics, has been bought by Woolworths to help the retail giant get more value from their customer data, both at the checkout and from their loyalty programs. Data Analytics can provide the same services to your company for a surprisingly low cost which, unlike
- [There's Gold in Them Thar Servers](https://dataanalytics.com/2013/03/theres-gold-in-them-thar-servers/) - New Scientist reviews the latest Big Data book released called "Big Data: A revolution that will transform how we live, work and think". Although I believe that there are plenty of major business opportunities in this approach lately termed "Big Data", I think some are overhyping and overdramatising its impacts on society in general. Data is
- [Opening the Vault: Qld Govt Open Data](https://dataanalytics.com/2013/03/opening-the-vault-qld-govt-open-data/) - The Queensland Government is launching its Open Data Initiative on the 3rd April in Brisbane. Its called "Open the Vault". Open Data is a great initiative being pursued by major governments all around the world (see US here, UK here, UN here, EU here and Australia here) that presumes that government data is owned by the

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- [Qld Data Governance Forum](https://dataanalytics.com/qld-data-governance-forum/) - Qld Data Governance Forum A new Data Governance Community of Practice is being formed in Queensland and you are invited. Register here to have a free breakfast from 8:30 am to 10 am (registration from 8:00 am) on July 6, 2021 at the Brisbane Hilton, where you can meet other executives and data experts who are wrangling
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