May 19, 2020

Big Data can enable world-class transportation in South Africa

Big Data
South Africa
Cape Town
MyCiti
mahlokoane percy ngwato
4 min
Big Data can enable world-class transportation in South Africa

South Africa faces some unique challenges when it comes to public transport. The reality is that public transport – in general – hasn’t yet capitalised on the opportunities presented by new technology advancements. Developments in the realm of Big Data, for instance, present tantalising opportunities to create a more efficient transport system in South Africa.

Our road-based transport challenges include:

• High volumes of daily commuters using informal transport systems – not governed by central authorities.

• A middle-class still heavily reliant on private transport – which causes increasing congestion, particularly on urban roads.

• Strong expansion of other urban infrastructure (such as housing and office developments) which is not supported by the same level of investment in transport networks.

• An emerging trend of closed-loop and localised systems – such as the Gautrain rail network in Gauteng and the MyCiti bus network in Cape Town – with no national approach of integration of payment and profile management.

• A vehicle licensing department that remains very manual in its operations, often resulting in inefficient service levels for motorists.

Attracting commuters that are currently using private, individual cars requires more than just the penal approaches such as road tolls and emissions taxes. The trend towards better use of public transport requires transport operators to offer more attractive propositions to South Africa’s commuters and travellers.

Read our full company profile of South Africa’s Larimar Group here.

The radical changes in the private taxi industry (the move away from traditional metered taxis, to the phenomenally popular disruptor, Uber) unfortunately doesn’t help in solving our transportation woes.

But, by cleverly tracking geospatial trends to understand user behaviour and congestion patterns, it becomes possible for transport operators to develop rail and bus networks that suit people’s lifestyles, and incentivises more motorists to move away from private transport.

With real-time data streamed to the right authorities – such as traffic police – it also becomes possible to minimise the impact in those ever-so-often cases where an accident causes traffic snarl-ups for kilometres. In these cases, authorities would be able to deploy resources to re-route traffic to different roads, and aid people in getting to their destinations on time, for example.

As viable public transport systems emerge, technology plays a central role in ensuring that they are designed and managed in the optimal manner. Ticketing could be digitised, with alerts sent to users when there are any delays or changes to schedules. With increased interoperability between the country’s various transport networks, one would be able to use the same card or payment mechanism to travel locally in any region, and over longer distances when making long-haul trips.

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This also opens up a number of exciting possibilities for digital marketing – where transport operators can partner with local service providers in a specific area to provide coupons and discounts to commuters on a particular route, for example.

Another important point is that stronger use of technology in transportation has excellent synergies with crime prevention efforts. With video technology being a firm feature of traffic management, this plays a surveillance role – detecting suspicious activity and aiding authorities by tracking vehicle license plates and other information.

For any of these promises to become a reality, having a sophisticated system that manages huge volumes of data, and transforms it into useful insights, is absolutely critical. Data collection, warehousing, integration, and quality-control are essential facets for transport operators as they embark on their Big Data journey.

Numerous examples from around the world have shown that transport operators are able to effectively develop networks of road and rail systems that improve the lives of commuters and benefit the economy at large.

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In the most mature examples, predictive analytics makes it possible to know how what volumes of commuters are likely to travel on specific routes, and make capacity-planning decisions in advance. And while this might still be some way off for South Africa, it is clear that there are many advantages to capitalising on Big Data – to not only enhance the convenience for today’s motorists, but also to make transport authorities and operators more successful and profitable.

By Gavin Holme, Country Manager, Africa, Wipro Limited and Rudraksh Bhawalkar, Practice Manager, Analytics, Africa, Wipro Limited

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May 28, 2021

Automation of repetitive tasks leads to higher value work

Automation
UiPath
technology
repetitivetasks
Kate Birch
4 min
As a new report reveals most office workers are crushed by repetitive tasks, we talk the value of automation with UiPath’s MD of Northern Europe, Gavin Mee

Two-thirds of global office workers feel they are constantly doing the same tasks over and over again. That’s according to a new study (2021 Office Worker Survey) from automation software company UiPath.

Whether emailing, inputting data, or scheduling calls and meetings, the majority of those surveyed said they waste on average four and a half hours a week on time-consuming tasks that they think could be automated.

Not only is the undertaking of such repetitious and mundane tasks a waste of time for employees, and therefore for businesses, but it can also have a negative impact on employees’ motivation and productivity. And the research backs this up with more than half (58%) of those surveyed saying that undertaking such repetitive tasks doesn’t allow them to be as creative as they’d like to be.

When repetitive, unrewarding tasks are handled by people, it takes time and this can cause delays and reduce both employee and customer satisfaction,” Gavin Mee, Managing Director of UiPath Northern Europe tells Business Chief. “Repetitive tasks can also be tedious, which often leads to stress and an increased likelihood to leave a job.”

And these tasks exist at all levels within an organisation, right up to executive level, where there are “small daily tasks that can be automated, such as scheduling, logging onto systems and creating reports”, adds Mee.

Automation can free employees to focus on higher value work

By automating some or all of these repetitive tasks, employees at whatever level of the organisation are freed up to focus on meaningful work that is creative, collaborative and strategic, something that will not only help them feel more engaged, but also benefit the organisation.

“Automation can free people to do more engaging, rewarding and higher value work,” says Mee, highlighting that 68% of global workers believe automation will make them more productive and 60% of executives agree that automation will enable people to focus on more strategic work. “Importantly, 57% of executives also say that automation increases employee engagement, all important factors to achieving business objectives.”

These aren’t the only benefits, however. One of the problems with employees doing some of these repetitive tasks manually is that “people are fallible and make mistakes”, says Mee, whereas automation boosts accuracy and reduces manual errors by 57%, according to Forrester Research. Compliance is also improved, according to 92% of global organisations.

Repetitive tasks that can be automated

Any repetitive process can be automated, Mee explains, from paying invoices to dealing with enquiries, or authorising documents and managing insurance claims. “The process will vary from business to business, but office workers have identified and created software robots to assist with thousands of common tasks they want automated.”

These include inputting data or creating data sets, a time-consuming task that 59% of those surveyed globally said was the task they would most like to automate, with scheduling of calls and meetings (57%) and sending template or reminder emails (60%) also top of the automation list. Far fewer believed, however, that tasks such as liaising with their team or customers could be automated, illustrating the higher value of such tasks.

“By employing software robots to undertake such tasks, they can be handled much more quickly,” adds Mee pointing to OTP Bank Romania, which during the pandemic used an automation to process requests to postpone bank loan instalments. “This reduced the processing time of a single request from 10 minutes to 20 seconds, allowing the bank to cope with a 125% increase in the number of calls received by call centre agents.”

Mee says: “Automation accelerates digital transformation, according to 63% of global executives. It also drives major cost savings and improves business metrics, and because software robots can ramp-up quickly to meet spikes in demand, it improves resilience.

Five business areas that can be automated

Mee outlines five business areas where automation can really make a difference.

  1. Contact centres Whether a customer seeks help online, in-store or with an agent, the entire customer service journey can be automated – from initial interaction to reaching a satisfying outcome
  2. Finance and accounting Automation enables firms to manage tasks such as invoice processing, ensuring accuracy and preventing mistakes
  3. Human resources Automations can be used across the HR team to manage things like payroll, assessing job candidates, and on-boarding
  4. IT IT teams are often swamped in daily activity like on-boarding or off-boarding employees. Deploying virtual machines, provisioning, configuring, and maintaining infrastructure. These tasks are ideal for automation
  5. Legal There are many important administrative tasks undertaken by legal teams that can be automated. Often, legal professionals are creating their own robots to help them manage this work. In legal and compliance processes, that means attorneys and paralegals can respond more quickly to increasing demands from clients and internal stakeholders. Robots don’t store data, and the data they use is encrypted in transit and at rest, which improves risk profiling and compliance.

“To embark on an automation journey, organisations need to create a Centre of Excellence in which technical expertise is fostered,” explains Mee. “This group of experts can begin automating processes quickly to show return on investment and gain buy-in. This effort leads to greater interest from within the organisation, which often kick-starts a strategic focus on embedding automation.”

 

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