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Big data for small businesses

8 MIN READ

It has been estimated that we would have generated 40,000 exabytes, or 40 trillion gigabytes (GB), of big data by 2020. That is equivalent to 5,200 GB of data for every human on earth. In other words, we are seeing an explosion of the digital universe.

It is impossible to comprehend just how much data is produced each day – and just how little of it is really being put to use. This creates a vast blue ocean of opportunities for enterprises, including small and medium sized enterprises (SMEs), to tap into and elevate their current hold in their respective marketplaces.

Many SMEs currently lack staff with the right skillsets to fully leverage on big data and analytics. It is also common for small business owners and management within SMEs to think that big data means ‘big cost’ or ‘big business’. Many are hesitant to explore big data initiatives because they believe that it requires major investment in hardware and software. In general, many traditional SMEs have been known to be reluctant towards embracing change.

Big data brings big opportunities

Every company began as a start-up. The success of Amazon is a clear showcase of the power of big data and how data can be tapped on to transform a small start-up into a massive industry disrupter and market leader.

Traditional bookstores used to track inventories – i.e., the books that are being stocked, those that are moving off the shelves and which are best sellers. This changed when retail moved online. Online bookstores can now see exactly what each customer is buying, how often they are buying, and even how they prefer to pay.

Soon after, by leveraging data, Amazon not only could track what customers bought, but also what they showed interest in, how they navigated the webpage, as well as how individuals reacted to promotions and similarities across different segments. Later on, Amazon developed algorithms to predict which books an individual customer was most likely to buy next. With this, Amazon transformed the traditional brick-and-mortar retailer into a data-driven e-commerce giant.

Digital footprints of customers have, for some time now, been revealing purchase patterns, preferences and interests, allowing businesses to implement more insight-driven tactics when engaging them. Suddenly, we are in an era where customer profiles are much clearer and more detailed. This is a new era of customer understanding. Just like the data, the opportunities are exploding too.

Starting small with big data

Even though the opportunity is huge, SMEs can start by taking baby steps towards leveraging big data. They can focus their efforts and dive deep into a few business critical sets of data. For example, sales in a specific sector, or performance metrics during peak versus low seasons. This will definitely yield quicker and better results than trying to take on too much, too soon.

SMEs may also consider creating a small interdisciplinary team to experiment with extracting business value from data instead of limiting it to skilled but isolated individuals such as those in the IT department.

In fact, to make things easier and more accessible, these days SMEs have much better access to the latest technology as competition continues to drive prices down and hardware becomes more of a commodity. Furthermore, software, services and even infrastructure can now be delivered over the cloud, making them even more attainable and scalable.

Additionally, cloud delivered infrastructure can help SMEs take advantage of more sophisticated IT operations, which previously might not have been accessible to them due to high costs of operations and up-front investments. SMEs can now start small and face less of a constraint when adopting new technologies.

Think big (data) now

Interestingly, several forward looking SMEs are already seeing big data as something more than just a buzz phrase. They are already harnessing the power of analytics to gain insights into business trends, make market projections, understand customer behavior and more. Big data and analytics is allowing these SMEs to be run more efficiently and become more competitive.

As exemplified earlier by the Amazon story, many successful smaller companies have already shown how data and insightful analytics have created unimaginable business opportunities.

Moving forward, big data will become an integral part of almost every industry. Applications that are essential to managing data are only going to become more accessible, affordable and user-friendly. It is certainly going to be easier for smaller firms to tap on big data and achieve bigger results. Nevertheless, those that start to embrace big data and analytics now will benefit most in the future.

Daniel Ng
Daniel Ng, Senior Director, APAC, Cloudera, is an end-in- mind strategist Daniel Ng, Senior Director, APAC, Cloudera, is an end-in- mind strategist, championing business and technology values for customers, from SMBs to Enterprises.His 31 years of experience in the ICT industry saw him cover the APAC region in Marketing, Business Development, and Sales roles for companies like IBM, Microsoft, Red Hat, after his first job with Nixdorf as a Software Engineer.He has led Sun Microsystems into becoming the first Multimedia Super Corridor (MSC) status company and has led efforts in establishing e-business for IBM, Open Source for Red Hat and now Big Data Analytics for Cloudera.Daniel is also a winning mentor for the 2015 Lee Kuan Yew Global Business Plan Competition, and is an advisor for numerous start-ups in Singapore and globally.