News and Articles

IAPA expands Advisory Committee with Australian Analytics Leaders

The Institute of Analytics Professionals of Australia (IAPA), the only dedicated analytics association in the country, has expanded its Advisory Committee with the appointment of six additional members. As advanced analytics accelerates rapidly, the new appointments add extra analytics, data science and AI expertise to the committee.

IAPA Advisory Committee Appointments

The Institute of Analytics Professionals of Australia (IAPA), the only dedicated analytics association in the country, has added four new members to its Advisory Committee. The new appointments are part of IAPA’s expanding support for the growing strategic role played by analytics in business, and to further aid executive understanding of how analytics can impact and inform business transformation.

Meet the 'Top 2' IAPA Top 25 Analytic Leaders - 2018

As the inaugural #1 ranked Analytics Leader, Chief Data Scientist Matt Kuperholz delivers analytics insights to the PwC organisation and PwC clients keen to improve business via analytics.

IAPA Event Round Up: December 2018

We’ve worked hard to provide our members with networking opportunities and valuable data and analytics insights from the best in the industry at our annual Advancing Analytics conference.

Create your profile for IWD2021

To celebrate International Women's Day, IAPA will shine a spotlight on women in analytics in Australia. If you are a woman working in Australia in a data and/or analytics role (from data engineering, data science, data analytics, data visualisation, AI, ML, data governance, business intelligence and all the roles inbetween) we'd like to include your profile as part of the spotlight series.

2020 IAPA Top 25 Analytics Leaders Announced

The 25 people at the top of analytics leadership in Australia as part of the IAPA 2020 Top 25 Analytics Leaders program have been announced.

Women in Analytics: Why diversity matters for the future of business

In today’s headline-hype driven world, you could be mistaken in thinking that data and analytics is a modern phenomenon – a product of the new millennium.

IAPA names Ana Roy as #1 Analytics Leader for 2023

IAPA, Australia’s dedicated analytics association, has announced Ana Roy, Head of Analytics – Merchandise at Kmart as the number one Analytics Leader in its Top 25 Analytics Leaders award program for 2023. It is the first time a woman has been ranked number one in the six years of the program.

Analytics professionals celebrate ABS recognition

Eighteen years after the Institute of Analytics Professionals of Australia (IAPA) was established, the Australian Bureau of Statistics (ABS) this week officially recognised two key analytics roles, Data Analyst and Data Scientist, in the latest update to the Australian and New Zealand Standard Classification of Occupations (ANZSCO).

Top 25 Report 2023

Analytics leaders are the linchpin to the successful delivery of business value from analytics. Analytics is now a key part of modern business and the IAPA Top 25 Analytics Leaders is the only industry recognition of the profession's best and brightest leaders.

Skills & Salary Survey 2023 deadline extended to Friday 6 October

Do you want to know where you stand when it comes to position, worth and skillsets as a data professional? Then help IAPA help you by completing this year’s Skills & Salary Survey 2023. IAPA has extended the deadline for completing this year’s Skills & Salary Survey to Friday 6 October 2023.

IAPA Skills & Salary Survey 2023

This annual survey of the analytics industry is designed to gauge how technical and soft skills are in demand, the salaries and stature of analytics professionals in organisations today, and the challenges they face against business and customer priorities. Insights from this survey also provide a critical information source for how IAPA, as the largest analytics community in Australia, supports and serves its members.

Did you know? Facts and figures from the last IAPA Skills & Salary Survey

Did you know the median salary for Australian analytics professionals in 2017 was $84,000 a year? Or that the top 10% were earning upwards of $235,000 per annum? These are just a few of the many insights that came out of IAPA’s Skills & Salary Survey in 2017. Help us gauge the shape and status of the Australian analytics professionals community in 2023 by completing the latest edition of this important survey.

Data Visualisation Libraries to Enhance Your Custom Analytics

The world of data visualisation is constantly evolving. If you’re reading this, it’s likely for one of two reasons: You need a visualisation library for your project, or you’re curious about what’s changed since 2020 in terms of visualisation libraries. Either way, welcome aboard!

Learning how to design data to blow minds

Data may be at the core of revolutionising finance, business, and digital industries, but visualising it to reveal the story behind the data is a skill that must be cultivated.

Cheat Sheets for AI and ML

Thank you to all those that responded to the 2017 Skills and Salary survey, it has now closed. We look forward to reading the resulting report, particularly around the skills most in demand over the next twelve months.

Effective machine learning starts with considered human thinking

Innovation makes a regular habit of outpacing those responsible for regulating its usage.

Effective data outcomes require diverse human inputs

Data can be incredibly useful for understanding and resolving issues in communities. But communities are often made up of diverse groupings, which lead to complexities that can be hard for any single member to appreciate.

Toward better business: the secret world of analytics

Is analytics really a secret weapon for business? Well, yes and no.

The strategic secret weapon for business

When the world, driven by data, moves so fast and forces are so disruptive, business needs data-driven insight and guidance – and many are finding their strategic secret weapon to be their analytics teams.

The Data Science Moment

In 2009, Google’s chief economist, Hal Varian, trumpeted the future value of people with statistical skills. He said: "The sexy job in the next 10 years will be statisticians… The ability to take data, to be able to understand it, to process it, to extract value from it, to visualise it, to communicate it.” Seven years on, there is no denying the demand for these skills. However, there is debate over what to call the people who possess them. Are they statisticians, data analysts or scientists?

Achieving better analytics: the important role of asking questions

Beyond the day-to-day business as usual analytics efforts, there are new technologies and techniques (and new applications of known techniques) appearing regularly.

Ready for disruption: Data monetisation

Big data about companies and their customers is everywhere, and it’s getting bigger. Reports suggest that the world creates 2.5 quintillion bytes (2.5 million terabytes) of data per day – and that 90 percent of the world’s data was created in the last two years alone.

5 Do's and Don'ts of Embeddable Analytics

Whether you’re producing automation software, SaaS products or cloud applications, it’s likely to assume you’re collecting a lot of data in the process.

The technological future of marketing and analytics

Today’s marketing and analytics professionals find themselves at the centre of a technological revolution. With the continued rise of marketing technology, programmatic advertising, social media, e-commerce, virtual reality and artificial intelligence, you’d be forgiven for thinking this was an entirely different profession to the one you once worked in. With all of these options, the question of being a generalist or a specialist seems obsolete. You can’t work in the industry today without knowing something about tech, but how much do you really need to know?

The ethical data scientist

With today's application of data science for commercial gain, what ethical standards are data scientists within all kinds of companies expected to adhere to and what are the tenets of ethics that should be applied?

If a business is not data driven, it will not exist within five years: IAPA MD

If your business is not data driven within five years you will not have a business, according to Annette Slunjski, Managing Director of the Institute of Analytics Professionals of Australia.

How to make the AI black box transparent and data serve humankind

One-day conference to address new data economy issues including data for good, robotics, blockchain, AI and analytics team development. 11 Sep 2018

Data as an Asset: Robert Hillard, Deloitte Australia

We spoke to Robert Hillard, Partner at Deloitte Australia, about obstacles and difficulties in recognising data as an asset, as well as the elements required to leverage data and draw actionable insights from it.

Data as an Asset: Evan Stubbs, SAS

Watch this ADMA/IAPA interview with Evan Stubbs, Chief Analytics Officer, SAS Australia, about challenges in recognising data as an asset, as well as the tools and assets required to leverage data and draw actionable insights from it.

Five Business Priorities for the Future of Work

COVID-19 is ushering in an entirely different future in terms of working life. However, forces such as digitalization have been altering the workforce long before the pandemic.

How Netflix’s Customer Obsession Created a Customer Obsession

In 2005, as I joined Netflix as VP of Product, I asked Reed Hastings, the CEO, what he hoped his legacy would be. His answer: “Consumer science.” He explained, “Leaders like Steve Jobs have a sense of style and what customers seek, but I don’t. We need consumer science to get there.”

Predictive Analytics in Healthcare

Pamela Peele, PhD, one of the keynote speakers at the IAPA National Conference 2020, wants to get patients out of emergency rooms.

Governance and Ethics Resources

Following the presentation by Kay Firth-Butterfield, Head of AI and Machine Learning at World Economic Forum at the IAPA National Conference, "Advancing Analytics" 2020, Kay provided the following resources for the IAPA Community to explore:

Sponsored Post: The Real Cost Factors of Embedded Analytics

Embedded analytics has become a mandatory element of any business strategy to improve competitive advantage and drive better business performance. As organizations strive to give customers more analytical insights from their product or service, it is becoming clear that the costs and complexity of embedding analytics extend beyond the initial software license acquisition.

Sponsored Post: ANZ State of BI & Analytics Report 2020 Special COVID-19 Edition

More than ever, companies across Australia and New Zealand are leaning on data analytics to help drive better decision-making and strengthen their businesses against the current volatile economic landscape.

Sponsored Post:Navigating Change in Crisis Using Data

As we step into the post-coronavirus future, data can guide and help us navigate our decisions. Companies will use data to shift resources, enhance outcomes, support customers, and find new efficiencies. Data and analytics will help navigate the growing uncertainty and give clear opportunities to collect, analyze, and act on data - in all three scenarios of past, present, and pre-pandemic.

Sponsored Post: The Data Behind: Helping Healthcare Get Better

Healthcare is experiencing a digital transformation, shifting how the medical ecosystem operates and the way that care is delivered. And all of this change comes down to one little word: data. In 2013, the healthcare industry produced 153 exabytes of data; in 2020, that volume is estimated to increase over 15-fold to 2,314 exabytes. It’s projected that healthcare data is expanding faster than in manufacturing, financial services, and media.

Sponsored whitepaper: Embedded Analytics Trends for 2020

It’s a developer's world out there. As we move into 2020, we are recognizing the power of the builder — in every company, for every developer. Developers are more important than ever in the success of their companies. Developers have a seat at the table, investigating and testing solutions before they’re purchased, becoming an important part of the decision-making process.

IAPA Skills and Salary Survey

IAPA Skills and Salary Surveys provide a window into the analytics industry.

2017 IAPA Skills and Salary Survey

Soft skills and technical skills in demand in 2018 as Business leadership, AI and mobile technologies become the focus areas for Analytics Professionals

It’s all about the data behind customer experience at this year’s Global Forum

An exceptional customer experience is almost always driven by data and analytics.

Hiding in plain sight

Data is the lifeblood of modern organisations. But as the tools and techniques used to derive insight from data have evolved, the need for the right data skillsets has also risen dramatically.

Fast Data – Baidu’s thirst for real-time analytics quenched by OceanDB

Baidu is not only the largest search engine in China, it’s also a vast big data analytics machine, consuming huge datasets and delivering insights in real-time. That’s a technological challenge that Baidu chose to solve by developing its own “fast data” solution called OceanDB.

Governments Should Independently Audit AI Tools For Fairness: Analytics Expert

Data and analytics have enormous potential to improve public policy and services by helping governments focus their resources in the areas where they will be most effective. However the risk of deploying machine learning systems which unfairly impact humans lives, because they’ve inherited biases from their human designers, means a new market may emerge for tools and services to audit algorithms.

How will Analytics salaries in 2018 compare to 2017?

In 2017, the Skills and Salary Survey revealed some interesting insights into salary levels associated with ‘Technical Skills’ and ‘Business Tools’.

Do you have a self-limiting ceiling?

The skills gap in nothing new in analytics. The gap in this instance is between demand and supply. Every year over 90 percent of managers tell us it’s as hard or harder to find analytics talent. And when they do find it, they tell us the majority are under-skilled. Whether this is because managers continue to ask for unicorns (and are then disappointed with mere mortals) or higher demand is driving those outside of analytics to take on the mantle of ‘analytics professional’ – the mismatch effect is the same.

Data is not Oil, Gold, Labour or anything else – it is Data

Words, in general, are a creative symbolic linguistic invention through which people invoke concepts and meanings that are flexible enough to enable we Homo sapiens to shortcut detailed explanations.

Data analytics profession grows, but expertise remains scarce

The growing premium on data analytics professionals has led to an increase in graduates in the profession, but those with real world experience remain rare, according to an IAPA whitepaper.

Data belongs on the balance sheet, its importance will only grow

As data becomes more important to the way organisations work, business should expect their data assets will eventually make their way onto the balance sheet. That’s the view of the Institute of Analytics Professionals of Australia (IAPA) which which spend 2018 advocating for the move, according to a spokesperson.

IAPA, ADMA, DGA and D+TC join ACS

IAPA, ADMA, DGA and D+TC join ACS to bolster Australia’s global position in digital innovation, technology and data-driven business

Computer says ‘No...Yes...GDPR’

Next year the General Data Protection Regulation (GDPR) adopted by the European Parliament comes into effect and will impact any organisation across the globe processing personal data of any EU citizen. Much of GDPR relates to collection, storage and use of personal information, however for those in data science and analytics the most interesting aspects of GDPR are those contained within Article 22: Automated individual decision-making, including profiling.

Cloud Data Warehousing for Dummies: Learn how to get the most out of your data

The first "Dummies" guide of its kind, Cloud Data Warehousing for Dummies is a comprehensive guide to understanding the fundamentals of cloud data warehousing.

IAPA-Certified Data Analytics Credential

Use this two minute selector to help start your IAPA-certification choice process.

CEOs Buy Into The Data Driven Paradigm But Warn, “Don’t Boil The Ocean”

The data from organisations such as McKinsey and Company and MIT is clear: companies that let data drive their decision-making make more money. Indeed, data-driven decision-making has repeatably been linked to better business performance across revenue, profit, or return on equity.

Becoming customer-first using data and analytics

Following an informative breakfast for financial services organisations, featured guest David Ciancio, dunnhumby’s Head of Retail, talks though some quick and simple things retailers can do in stores to start the process to have Customer-First approach to business.

Interpretable AI resources

In addition to a highly informative and engaging keynote address at the IAPA National Conference, Cynthia Rudin, Professor at Duke University added the following AI, ML and interpretable AI papers for the IAPA Community.

Download your copy of the 2020 Top 25 Analytics Leaders report

Get the report on the who's who at the top of analytics leadership in Australia for 2020

Big Data, cloud, mobile and cyber-security to disrupt business in 2017: National survey

Australian businesses will be significantly disrupted by big data, cloud, mobile and cyber-security this year according to the 2016 Skills and Salary Survey from the Institute of Analytics Professionals of Australia (IAPA).

Analytics talent shortage is acute in marketing

Surveys and anecdotal reports show the Australian market for analytics talent is extremely competitive. Organisations tell us it is difficult to secure and retain talent. As one of the key functional areas using analytics insight, marketing is no different. In the US a recent survey found that “marketing analytics is employed in 37.5 percent of business decisions, but only 1.9 percent of firms say they have the right people in place to leverage the information.”

Awe or Armageddon: the reality of AI in business

While the media reports on artificial intelligence oscillate between breathless awe and terminator-style Armageddon, the down-to-earth reality requires organisations to not get caught up in the hype but instead embrace the logical process, people and technology implications.

Aussie Rules, Rugby and Soccer on common (analytics) ground

We’ve just finished a weekend chock full of elite sport with the AFL and NRL grand finals. And while the grand final is the pinnacle of the sport, on-the-ground sports performance will soon be dwarfed by the performance of real-time analytics in the stands, coach’s rooms, operations centres and marketing departments.

Finkel: overcoming our mistrust of robots in our homes and workplaces

What is it about AI that unnerves us? Alan Finkel suspects it’s a combination of things.

2018 IAPA Skills & Salary Survey

Every year IAPA benchmarks the analytics industry to see what skills are hot, what industries pay analytics professionals the best (and worst) and how current skills and experience stack up.

Improving the wellbeing of a nation

While analytics is often connected to larger organisations, the same techniques and technologies are helping to make inroads into the large and complex problems in the social, public and health sectors.

Move over Ricciardo, the data scientists are taking the podium

While Melbourne had Formula One fever earlier this month, Ricciardo, Hamilton and F1 drivers in general are effectively on the endangered list. Data scientists will be soon taking the place of Formula One drivers. Not to physically sit in the car though. That’s the job of their artificial intelligence (AI) algorithms and software.

Looking beyond the hype: AI’s real potential as a transformative technology

Hype is a familiar concept in the IT industry, where the latest popular new idea can suddenly become imbued with promises well beyond its initial capabilities.

New Advisory Board lead the way forward for IAPA

We are pleased to introduce the new IAPA Advisory Board. The Advisory Board helps guide our strategy and campaigns to support analytics professionals and promote the recognition of analytics’ vital role across the organisation.

Top leaders in analytics announced by industry peak body

IAPA Top 25 Analytics Leaders identifies leaders from across industries

Three requirements for building successful data capacity

Building data capacity goes well beyond the technology piece. Natalie Evans Harris, former Senior Policy Advisor to the US Chief Technology Officer in the Obama Administration, who also spent 16 years with the National Security Agency, talks about the three key requirements for building data capacity - data literacy, infrastructure and policies.

Trust and transparency vital to the data value exchange according to new research

Data streams may dry up if consumers don’t feel trust in sharing their data with businesses a new ADMA report shows

What could a My Health Record data breach look like?

Last week marked the start of a three-month period in which Australians can opt out of the My Health Record scheme before having an automatically generated electronic health record.

Virtual reality to train robots

The team at Open AI has developed a system powered by two neural networks: a vision network and an imitation network. The system uses a new algorithm, one-shot imitation learning, allowing a human to communicate how to do a new task by performing it in virtual reality (VR). Watch this video of training a robot using VR to show the task and final outcome; but the starting position for the robot is variable. Awesome stuff!

2017 Skills & Salary Survey Report

The importance of an analytics professional with a breadth of soft and technical skills to an organisation is underlined in the fifth annual IAPA Skills and Salary Survey. Providing new benchmarks and the most complete data points about the state of the industry, the survey outlines the jobs and skills that are most in demand and how the industry is dealing with the issues of disruption and accelerating technological change.

What it takes to be a Data Scientist in 2018 and where does the skills gap lie?

That there are skill shortages in the market is hardly news. The ever-rising tide of data science salaries revealed each year in the IAPA 2017 Skills & Salary Survey results provide evidence of that.

Why Digital Transformation is different in Healthcare

Digital transformation in the health sector is a different beast. It is slower, more expensive and the stakes are higher than most other industries.

IAPA Whitepaper: Hit The Accelerator

Data analytics increasingly sits at the heart of modern business. The emergence of new digital channels creates huge opportunities for data analysis, while a more competitive commercial landscape has evolved — with new insurgents arriving each week who begin life with data at their core.

Nominations for IAPA Chapter Head now open

Following a hiatus of state based events and activity due to various factors, IAPA is seeking expressions of interest from members to become Chapter Head in the following states.

Will the gender pay gap improve in 2018?

One of the revelations that came out of the IAPA 2017 Skills and Salary survey was the state of the gender pay gap for the industry in Australia.

2016 Advancing Analytics Recap

The 2016 IAPA National Conference "Advancing Analytics" was a great success. Over 250 people gathered in Melbourne on 6 October to hear from the brightest minds in analytics and network with peers.

Peak body seeking Top 25 Analytics Leaders for 2019

IAPA recognises the role analytics leaders play in organisations in Australia and across the globe. 23 Apr 2019

Infographic - How to build diversity into your analytics team

As part of a focus on diversity and International Women's Day we look at the 10 biases you should know and hints on building diversity into your analytics team.

Making analytics your career

In the spirit of "you can't be what you can't see", we share thirteen different roles in analytics. Based on the responses from the IAPA Women in Analytics Spotlight, each person provides a snapshot of what their day to day is like.

Data as an Asset: Warwick Graco, ATO

Data as an Asset: Elizabeth Moore, Telstra

Analytics in every vertical

Analytics teams tend to be found in organisations with large amounts of data. Traditionally that's been financial services, telco, utilities and retail. However today with digital transformation initiatives, data inflows from more channels and new sources of data from IoT devices, organisations in every vertical are seeking to gain business insight from their data via an analytics team.

Break the Bias

For those who work in or work with analytics or analytics insights, we take a moment on International Women’s Day to describe the biases related to analytics and outline ways to #BreaktheBias

Bridging the Gap Between Analytics Expectations and Reality

Newly published research shows that companies aren’t getting the most out of their analytics. Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. But there’s a gap between expectations and reality, and companies are falling short of their aspirations.

Pandemics, analytics and politics: how data-driven AI makes better policy

Dr Nuria Oliver’s algorithms model the perfect politician, one who can make accurate and cost-effective policy responses amidst the chaos of a COVID-19 outbreak. Could this start a new global trend: evidence-based policymaking?

AI Action Plan for Australia

From its position within Australian industry, IAPA recognises that within the analytics maturity continuum, AI is part of advanced analytics, at the most mature, developed and sophisticated end of the continuum.

Using AI to guess your age

Alternative social-media networks are exploring ways that artificial intelligence (AI) tools can automatically verify a child’s age without sensitive identity documents.

Ecommerce rates where AI helps

73 percent of e-commerce companies believed that AI would help their business with personalisation and one percent of e-commerce companies believed that AI would not help their company.

Australia’s AI skills just 21% of USA’s

This recently published country index reflects how much AI skills penetrate a country's occupations relative to the United States for the period 2016 to 2018.

UniSA builds COVID-19 remote detection tech

University of South Australia created a machine vision system that could detect humans and then measure their heart rate, breathing rate, and blood oxygen levels to fight the spread of COVID-19.

IAPA Christmas Reading 2020

Boost your understanding - download and read "Machine learning for public policy: Do we need to sacrifice accuracy to make models fair?" and "Ethics by Design: An organizational approach to responsible use of technology"

Analytics: The Key to Driving Success Beyond COVID-19

In Navigating Change in Crisis, we explore how individuals and companies are adapting to a “new normal.” Learn how organizations, dev teams, and frontline users are adjusting to meet these challenges of our radically altered world.

Is RPA the same as AI? What’s the Difference, and What Are the Use Cases?

RPA uses software robots to automate human actions in business processes that involve interaction with digital systems. These actions are usually simple and repetitive, which makes them prone to human error and can provoke a loss of employees’ motivation and efficiency.

How Digital Innovation Brings Value for Insurance Firms

“Much of the innovation in the insurance industry in recent years has been about creating new products that are delivered in old ways. Digital is the missing link. By combining the possibility of digital with the desire to innovate, insurers can create new revenue streams — serving new customers in areas that were previously inaccessible,” according to the Boston Consulting Group.

Wasn’t your data meant to help solve problems, not create new ones? 

This article investigates the current challenges and bottlenecks around data integration for analytics, with recommendations on how to resolve these issues with new approaches. 

What Accelerating Trends in Cloud BI Say for Data Literacy

Our ability to adopt technology and utilize data is critical to improving the way we work, and everyone seems to know it. Cloud, self-service, collaboration, and governance are terms we all understand much better now than we did a decade ago, because most enterprises now understand the importance of information democracy in a way they never did before.

Stop Gambling with Black Box and Explainable Models on High-Stakes Decisions

Both “black box” and “explainable” machine learning models carry serious concerns for those who care about justice and accuracy in high-stakes fields

The Rise of the Data Team

Implementing analytics at your company is a multi-team job. Here, we focus on the role of the data team in successfully applying advanced analytics and ensuring that you get the most from your data to make your organization truly data-driven.

Getting Serious About Data and Data Science

Tom Davenport talks about data science, including analytics, big data, and artificial intelligence. Both have contributed to impressive business successes yet overall progress among established companies has been painfully slow. Too often, progress depends on a single leader, and in addition, companies are not seizing the strategic potential in their data.

Building Bridges — Best Practices for BI Teams Working with Data Teams

Implementing analytics at your company is a multi-team job. In Building Bridges, we focus on helping end-users, app builders, and data experts select and roll out analytics platforms easily and efficiently.

Is AI Getting Easier?

Tom Davenport talks about AI evolution and how enterprises think about AI as a business resource. Modernizing our data infrastructure for AI is the most popular response as well as gaining access to the newest and best AI technologies, moving to the cloud, deploying data science platforms, and developing partnerships for fast execution.

2020 Top 25 Report

Paper: Standing out with storytelling

Just as data is essentially useless until it is used to generate insights, so too, insights are of little value if they can’t be understood and acted upon by the people they benefit. And so this notion of using data to tell a story – often referred to as data storytelling – is becoming a key requirement in a data professional’s toolbox.

Sponsored: Data and HR in a pandemic

Emerging workforce trends include: Rapidly scaling up human power, direct sourcing of talent, emergency communications, redeployment, as well as internal mobility, outplacement, and well-being/development. Key to all this is data, and those organizations that are data-driven have been on the leading edge of these changes.

The hunt is on for the best in analytics in Australia

IAPA, the peak body for analytics professionals in Australia, today announced the 2020 IAPA Top 25 Analytics Leaders program is now open for nominations.

Taking Smarter Risks to Monetise Your Data

The companies that are winning with data monetisation are those that create scalable paths to each of the three types of innovation. No matter how high a business aims, there’s one extremely important step to take to pave the way to successful innovations: lower the cost to try.

First analytics credential in Australia launched

Paper: costs of an Analytics Team

Analytics for teams and enterprise has become a mandatory element of any business strategy to improve competitive advantage and drive better business performance.

14 Useful Ways to Visualize Your Data (with Examples)

Data visualization is very much like architecture. When figuring out how to display data, you need to start with the function (the trend, pattern or vital piece of information you’re imparting at a glance), then consider the user (how they navigate and interact with the data) and only then the final step: make it as clean and beautiful as possible.

Business Interaction for Analysts Course

The course that helps your analytics team improve interactions with business stakeholders.

IAPA Top 25 Analytics Leaders