Analytics powers business recovery
Paul Morgan, Business Unit Lead for Data, Planning and Analytics at Altron Karabina
If data is the oil of the digital age, then analytics is the electricity that delivers the current, giving the insights necessary to affect change. Just like oil, unrefined data is ‘dirty’ and needs to be understood and refined to deliver value. Therefore, to really leverage the power of the data at the organisation’s disposal, it needs to have a great analytics environment in place.
Such an environment enables decision-makers to unlock business value more innovatively than has been possible using traditional, legacy-focused solutions. Data is continuously growing and evolving as the needs of the organisation change thanks to shifting customer expectations. And when there is a Black Swan event such as the current COVID-19 pandemic, analysing data is crucial to deal with the problems faced by companies. By better understanding new environments through data, organisations can greatly improve their chances of thriving during the difficult economic times of this dynamic new world.
Now, more than ever, data analytics is crucial to business success. But it needs to be focused on understanding the unique challenges inherent to each organisation and how to overcome those while delivering the results required for a digital transformation journey.
HBR research following the 2007 financial crisis examined four responses to the slowdown that occurred and identified the best ways for companies to deal with a crisis and overcome it. It found that the optimum strategy combines offensive tactics, specifically market development and asset investment, with a defensive one of improving operational efficiency. And the golden thread tying everything together is analytics.
From a market development perspective, the focus is on gaining customer and product insights. For its part, asset investment centres on ROI analysis and financial modelling to deliver operational efficiency requires both operational and inventory analytics. There is simply no getting around the need to refocus efforts on understanding data and all its complexities, especially when it comes to these three pillars.
According to the 2020 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms, essential components of modern analytical tools include natural language queries, digital storytelling, embedded analytics and automated insights. And to further differentiate themselves in how they apply these innovations, companies need to integrate support for enterprise report capability with augmented analytics.
Of course, a business intelligence (BI) tool cannot do this on its own. It must have a certain amount of intelligence to operate effectively inside the organisation.
Take Microsoft Power BI as an example. It was developed as part of an entire platform and not just a standalone tool. With a community of more than one million members who can vote for features to be shipped in the next release, it is the leading analytical environment available today.
And by leveraging the local experience of partners such as Altron Karabina when combined with the functionality of Power BI, companies can radically transform their business and technology platforms. What makes Power BI such a compelling offering is its ability to integrate machine learning (ML) with artificial intelligence (AI). It understands natural language from the data set of a company and empowers users to train the model based on the terminology and concepts used inside the business. Each implementation, therefore, becomes an agile and growing analytical environment that adjusts to what the organisation requires and how it uses the platform.
It delivers the vehicle for effectively analysing data. For example, a company can explore product returns relating to certain suppliers and use the AI environment to make decisions for the business to optimise the supply chain. Furthermore, streaming data from the Internet of things (IOT) devices in real-time through secure channels enables companies to have an immediate view of operations anywhere in the world.
However, for this to work, analytics must become a fundamental part of the company culture. It must be weaved into every aspect of the business to deliver the value required to differentiate the business. To this end, analytics can become a platform which businesses can use to thrive, irrespective of market conditions.
About Paul Morgan
Paul Morgan joined Altron Karabina in 2018 as Competency Lead for Data and Analytics. His focus is to ensure that the company delivers on its promise to ensure success for their clients, by delivering innovation that matters.
Morgan recognises that there is an opportunity for organisations to engage better with customers and employees by leveraging their internal and external data with data science and analytic solutions. By utilising modern data frameworks, both in the cloud and on-premises, they can optimise existing operations, as well as transforming their products.
Morgan has been involved in business intelligence and analytics since he arrived in South Africa in 1998. In 2004, he became MD of ASYST Intelligence, a leading SAP Business Objects partner, where he grew the company from a team of four employees to over 45. The business was recognised as South Africa’s leading Business Objects competency and delivered complex analytics projects for such clients as Transnet, Eskom and ABSA. In 2014, he merged the company into Decision Inc., where he worked for three years as CTO, dealing with technologies across the company, including Qlik, Tableau, Microsoft and SAP.
Morgan holds a first-class honour's degree in computer science from Loughborough University in the UK, where he also won the Ford New Holland prize for his final year project on Natural Language Processing.
Outside of work, Morgan enjoys spending time with his family, hiking, playing guitar and reading historical novels.