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ARTIFICIAL INTELLIGENCE


        Augmented analytics, what does it




        mean for small business?





        By Malebona Mokhutsoane, Solution Advisor for Analytics & Dumisani Moyo, Head of Mid-Market: Southern Africa at SAP




             rom digital transformation to big data and analytics, the  The data driven enterprise
             internet is littered with buzz words and promises that  Many technology pundits have dubbed data as “the new oil”.
        Ftechnology is the answer to revolutionising business and  The notion is predicated on the fact that raw oil isn’t as
        delivering better results. But what does this mean in practice,  valuable as the final products that are produced after it is
        particularly for small and medium size businesses? One could  processed. In the same way, data isn’t as valuable as the
        reasonably argue that their bigger siblings have recognised this and  insights that are generated once it is analysed. Once analysed
        to some extent, managed to leverage the benefits of technology to  and refined, data becomes a valuable decision-making tool,
        drive better customer experience, improve efficiency and deliver  enabling companies to quickly adapt to changing market
        better business outcomes. This article explores how SMEs can  conditions, identify new markets and opportunities and make
        incorporate augmented analytics into their digital transformation  their businesses more resilient and less susceptible to market
        strategies and operations to drive better business outcomes.  disruptions such as COVID-19.

        What is augmented analytics?                             The future of analytics
        Augmented analytics is the use of technologies such as machine  Whether looking for something to order on Uber Eats or a
        learning, artificial intelligence and natural language processing to assist  movie to watch on Netflix, augmented analytics has become
        with preparing data, generating insights and presenting those insights  well entrenched and pervasive in our everyday lives. You do
        in a way that augments how people explore, analyse and utilise data.   not need to think hard about what to eat or what movie to
           The machine learning component automates the analytics  watch, technology does that for you in a split second.
        phases of data preparation and the generating of insights. Natural  Customers have become accustomed to this level of
        language processing enables business users to get insights from  convenience in their personal lives, and it is only a matter of
        data without a deeper knowledge of the underlying coding  time before they start demanding the same in their
        languages. As a matter of fact, natural language processing is the  professional lives.
        technology behind digital assistants such as Siri and Alexa.   SMEs need to see technology as a crucial cog and enabler
           Augmented analytics is not intended to substitute humans, but  in the value creation process. The emphasis should be on
        rather to enhance our interpretation capabilities when working with  integrating technology, such as augmented analytics into all
        large and complex data sets and it facilitates the generation of  aspects of the business, especially the value chain and value-
        business insights from cold data.                        creating processes of the company. This is crucial to ensure
                                                                 that technology supports broader and long-term business
        Augmented analytics in SMEs                              imperatives such as innovation and improving operational,
        A study by Accenture found that 97% of the data that is collected in  business and customer outcomes.   n
        most companies is never revisited, never used to drive operational
        efficiencies, and in effect, is not being used to improve business
        outcomes. The same study pointed out that more than 87% of
        companies have low levels of maturity in terms of their business
        intelligence and analytics capabilities.
           SMEs need to prioritise data and treat it as an asset. They need
        to leverage both operational (O-data) and customer (experience-, or
        X-data) to drive better business outcomes and to create sustainable
        competitive advantages. Through analytics, SMEs can use data,
        specifically the intelligence and insights it presents, as a basis for
        driving innovation, business agility, reducing operational risks and
        developing new revenue streams.
           In the words of Michael Dell, “digital transformation is not about IT
        … it is a boardroom conversation, driven by CEOs and line-of-
        business executives, focused on answering some very big questions:
        How do you fundamentally reimagine your business? How do you
                                                                 Malebane Mokhutsoane,    Dumisani Moyo, Head of
        embed sensors, connectivity, and intelligence in products? How do  Solution Advisor for  Mid-Market: Southern Africa
        you reshape customer engagement and outcomes?”           Analytics at SAP         at SAP



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