Data Science projects hold real business benefits even before the predictive insights are produced.
Hein Pretorius
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Data Science project benefits 1. A thorough and well documented understanding of your data value chain and how it supports your business. Hein Pretorius
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Data Science project benefits 2. The opportunity to re-ignite a corporate culture of caring about data quality and the critical importance of data in the modern business. Hein Pretorius
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Data Science project benefits 3. A cleaned up and consolidated data asset base. This will serve you well for any future enterprise software projects. ERP, RPA, Data Warehouse, and of course, last but not least, your Data Science initiatives. Hein Pretorius
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Data Science project benefits 4. A clear, documented view of how your enterprise data should be enriched with sources from outside of your organisation, to provide more meaningful predictive insights. Hein Pretorius
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Data Science project benefits 5. A clear understanding of the broader ecosystem within which your business operates. How you impact the ecosystem and how the ecosystem impacts your business. Hein Pretorius
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Machine learning is being commoditised through various apps and platforms. The success of any data science endeavour lies in the person who really cares about solving the problem, about formulating and then answering that difficult question. Hein Pretorius
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I get a sense that Procurement departments hiding behind Corporate Governance are going to be an impediment to digital transformation. Hein Pretorius
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The digital transformation journey requires trust and collaboration between vendor and client and between all players in the client’s value chain for it to be truly effective. Hein Pretorius
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I am not. But if I was a corporate exec. For my digital transformation journey, I would surround myself with the brightest minds and change agents I could find and partner them with a corporate consultancy merely for their ability to scale. AND I will not hand over control of my digital transformation journey to said corporate consultancy. I will ensure that someone who truly represents my company’s best interest is empowered to drive the initiative. Hein Pretorius
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As much as 80% of the effort on your data science project is spent on finding the correct data, inside and outside your organisation, connecting to the data, getting it into a central location, making sure it is clean at a very granular level and making sure you really understand your data landscape. If you do this properly, you will realise benefits even before the interesting insights from data science are produced. Hein Pretorius
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If your robotic process automation (RPA) projects are not delivering the benefits you hoped for, it could be that your business processes themselves are too “human”. Hein Pretorius
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First reengineer business processes by considering how machines can interact without human intervention. This approach will reveal new possibilities that can turn a doomed RPA project into the best investment you ever made. Hein Pretorius
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Legacy automation thinking was focused on helping computer operators be more productive. Modern automation is about agility and achieving outcomes. Hein Pretorius
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Legacy thinking will automate a process to obtain approval of the invoice, then load the payments batch, then automate the process to obtain approval of the payments batch. Hein Pretorius
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Modern automation will check if the PO was approved and received. Whether the invoice is in line with supplier contract and will pay a valid supplier invoice when it is due. Hein Pretorius
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Legacy thinking was for business process automation to simulate all the keystrokes required to enter a transaction into the company’s business system, a practice that fell considerably short of the promised returns. Ultimately, its purpose was simply to speed up typing, minimize human error or reduce the number of staff needed to keep business records up to date. Hein Pretorius
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Modern thinking is to reengineer processes to achieve outcomes-based automation. Modern thinking asks why you need segregation of duties or SOX controls in a fully automated process. Reengineering, reimagining and reinventing is the way of the future. Hein Pretorius
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Human-driven business process design has become so ingrained in corporate IT systems that it keeps enterprises from enjoying the full benefits of total digital transformation, of which RPA is an inherent part. Hein Pretorius
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Saw this on horsesforsources.com: “RPA is dead. Long live Integrated Automation Platforms”
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Compliance requirements, cost savings, higher profits, project budgets or any other siloed concern should not be the central themes for your Digital Transformation initiative. Hein Pretorius
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Instead, these should be happy side effects of your design choices because without a deeper strategy, they won’t bring lasting change and enduring returns. Hein Pretorius
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Your ultimate purpose is to create an agile, data-driven business model that can rapidly meet the on-demand expectations of an always online market. Hein Pretorius
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An agile, data-driven business model doesn’t just require a different approach to classical data input-output systems design. It needs to be viewed as an obligation to innovate every part of your business. Hein Pretorius
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