Having access to so much data can be daunting – as a business it is important to learn how to use it to your advantage but always remembering to keep the customer at the heart of it, says RICHARD MULLINS, MD of MEA at Acceleration.
Data works in two directions. Firstly, it gives businesses access to unprecedented volumes of real-time data about customer behaviour, preferences and context. It also provides consumers with information about where they should go for the best product range, experience, and pricing.
Thanks to smartphones, consumers have this information at hand whenever they research purchases, shop, and interact with brands.
Consider, for example, someone in a mall looking for the best nearby restaurant. He or she will look up nearby pizzerias on Apple or Google Maps or look up best restaurants on Zomato’s app. This provides the local owner of a pizzeria to target him or her with a contextual ad and perhaps an offer for a complimentary drink.
Think about someone trying on a jacket in a clothing store – having checked out the colour and the fit, he or she may decide to find the cheapest price and order it online. This may be done via their mobile phone, a mobile app or a tablet, for next day delivery. Why not offer to match pricing from the biggest online competitors in a PPC ad when the customer does his or her mobile search on Google?
The trail of behavioural, location, demographic and even psychographic data customers leave behind as they use mobile search and social media enables us to understand consumer behaviour and personalise messaging and right place right offer opportunity. Bear in mind that is aggregated customer data rather than information that identifies them personally.
To thrive in a world where smartphones make nearly every shopping experience a digital one, brands must learn to use data across their touch points to deliver a clear and personalised experience to each customer. Luckily, marketers have unprecedented volumes of data that they can use to understand and influence consumer behaviour in real-time.
The problem with trying to wrap one’s head around all this data, however, is that it can be hard to capture, analyse and segment. Most organisations have a plethora of information scattered across numerous logistical, transactional and marketing systems. The marketing systems include the likes of CRM databases, ad-servers, social media platforms, search, third-party data providers and more – and most companies have no idea how to bring it all together to create a single view of the customer. Some large enterprises have been struggling to reach this Holy Grail for decades.
What’s more, in the South African context, data isn’t as big as it is in the US or Europe. Outside a few of the large banks and telcos, most local companies don’t have deep pools of customer data to mine for statistical insight as, for example, Amazon. Lacking the volume of data, they will not achieve the same results as a player with Amazon’s scale even if they apply the same algorithms and analytics tools.
Think smart rather than big
We recommend that marketers ignore the buzz about big data and begin by asking a simple question: “What information will enable us to offer relevant messages and experiences to our customers?” Once they have identified that piece of information, they can begin to think about where and how they can access the data and how they will activate it with the customer.
For us, it’s not about big data. It’s about smart and usable data. Data that enables us to align the right message, service and product with the right customer at the right time. Rather than starting off with a complex data technology solution, marketers should step back and ask: “What data do we need, what data do we have, where does our data sit, and who owns and controls it?”
Understanding the answers to these questions will help the brand create a strategy for accessing the data it needs to serve customers better. Most South African brands have a wealth of transactional data at their fingertips – the next step is to start gathering and leveraging data about the customer context and journey more effectively.
The point is to start with the customers: what do we know about them and how do we serve them better? They should look at specific questions – “We have customers who purchase from us twice a year. How could we entice them to double their purchases?” – and seek equally specific answers.
A focused approach is the key to reaping an investment from customer data.
Huawei Mate 20 unveils ‘higher intelligence’
The new Mate 20 series, launching in South Africa today, includes a 7.2″ handset, and promises improved AI.
Huawei Consumer Business Group today launches the Huawei Mate 20 Series in South Africa.
The phones are powered by Huawei’s densest and highest performing system on chip (SoC) to date, the Kirin 980. Manufactured with the 7nm process, incorporating the Cortex-A76-based CPU and Mali-G76 GPU, the SoC offers improved performance and, according to Huawei, “an unprecedented smooth user experience”.
The new 40W Huawei SuperCharge, 15W Huawei Wireless Quick Charge, and large batteries work in tandem to provide users with improved battery life. A Matrix Camera System includes a Leica Ultra Wide Angle Lens that lets users see both wider and closer, with a new macro distance capability. The camera system adopts a Four-Point Design that gives the device a distinct visual identity.
The Mate 20 Series is available in 6.53-inch, 6.39-inch and 7.2-inch sizes, across four devices: Huawei Mate 20, Mate 20 Pro, Mate 20 X and Porsche Design Huawei Mate 20 RS. They ship with the customisable Android P-based EMUI 9 operating system.
“Smartphones are an important entrance to the digital world,” said Richard Yu, CEO of Huawei Consumer BG, at the global launch in London last week. “The Huawei Mate 20 Series is designed to be the best ‘mate’ of consumers, accompanying and empowering them to enjoy a richer, more fulfilled life with their higher intelligence, unparalleled battery lives and powerful camera performance.”
The SoC fits 6.9 billion transistors within a die the size of a fingernail. Compared to Kirin 970, the latest chipset is equipped with a CPU that is claimed to be 75 percent more powerful, a GPU that is 46 percent more powerful and an NPU (neural processing unit) that is 226 percent more powerful. The efficiency of the components has also been elevated: the CPU is claimed to be 58 percent more efficient, the GPU 178 percent more efficient, and the NPU 182 percent more efficient. The Kirin 980 is the world’s first commercial SoC to use the Cortex-A76-based cores.
Huawei has designed a three-tier architecture that consists of two ultra-large cores, two large cores and four small cores. This allows the CPU to allocate the optimal amount of resources to heavy, medium and light tasks for greater efficiency, improving the performance of the SoC while enhancing battery life. The Kirin 980 is also the industry’s first SoC to be equipped with Dual-NPU, giving it higher On-Device AI processing capability to support AI applications.
Read more about the Mate 20 Pro’s connectivity, battery and camera on the next page.
How Quantum computing will change … everything?
Research labs, government agencies (NASA) and tech giants like Microsoft, IBM and Google are all focused on developing quantum theories first put forward in the 1970s. What’s more, a growing start-up quantum computing ecosystem is attracting hundreds of millions of investor dollars. Given this scenario, Forrester believes it is time for IT leaders to pay attention.
“We expect CIOs in life sciences, energy, defence, and manufacturing to see a deluge of hype from vendors and the media in the coming months,” says Forrester’s Brian Hopkins, VP, principal analyst serving CIOs and lead author of a report: A First Look at Quantum Computing. “Financial services, supply-chain, and healthcare firms will feel some of this as well. We see a market emerging, media interest on the rise, and client interest trickling in. It’s time for CIOs to take notice.”
The Forrester report gives some practical applications for quantum computing which helps contextualise its potential:
- Security could massively benefit from quantum computing. Factoring very large integers could break RSA-encrypted data, but could also be used to protect systems against malicious attempts.
- Supply chain managers could use quantum computing to gather and act on price information using minute-by-minute fluctuations in supply and demand
- Robotics engineers could determine the best parameters to use in deep-learning models that recognise and react to objects in computer vision
- Quantum computing could be used to discover revolutionary new molecules making use of the petabytes of data that studies are now producing. This would significantly benefit many organisations in the material and life sciences verticals – particularly those trying to create more cost-effective electric car batteries which still depend on expensive and rare materials.
Continue reading to find out how Quantum computing differs.