It is time for the final part of our three part series. Over the last couple of posts, we have taken a look at why start-ups and small businesses should consider implementing Big Data and analytics as part of their business, explaining what it is all about. We also had a look at how startups can get started with analytics, giving some tips on things to be considered before getting your Big Data tools in place. So in this final post, we will take a look at those start-ups that have integrated Big Data into their business and how they have achieved success with it.
Sensalytics – Levelling the playing field between bricks-and-mortar and online
Physical retailers are always looking for an extra sale – be it by placing the shirts next to the suits in a clothing retailer or batteries by the till in a gadget store – and this is something that online stores have long tried to emulate with the “Related Items” and “People who bought what’s in your basket also bought” suggestions. However, until now, online stores have had the advantage in being able to monitor their customers as they journey through the online store and target their offers in response.
sensalytics provides the technology necessary for retailers to analyse their business in-store. By using sensors, cameras, or a combination of the two, sensalytics gives bricks-and-mortar retailers the opportunity to see which areas of their stores, and what areas of their business, are working most effectively.
By using these sensors around shops, retailers can gain valuable business insights into how they can become more effective in targeting their customer. Sensors and cameras can count people entering and leaving the store, as well as monitor their movements to assess which parts of the store are the busiest. Understanding the customer behaviour allows retailers to focus on what works best in the shop and where – just as their online rivals are doing.
They do this using a tailored software-as-a-service product for retailers to monitor their shop sensors, and this completely relies upon a fast analytical database solution which allows real-time data to be collected and acted upon. The cloud-based SaaS product has changed the game for retailers, as they now have access to their data anywhere, at any time, and all within a clear and easy-to-use platform, meaning getting tangible business insights has never been easier.
Data to Value
Founded in 2013, Data to Value is an information management consultancy which has based its business around big data, the insights it holds, and data modelling and profiling. All these options would not be possible if it were not for Big Data itself.
Thanks to Big Data, Data to Value is able to use the latest automated data discovery, mining and profiling techniques to assist its clients get to grips with their data. By using the latest Big Data and data science tools, Data to Value can create flexible solutions which will help its clients to process their data more effectively and faster than before, maximising the value of their digital assets. This enables them to use their information to create efficiencies in their business, improving their profit margin.
Data analytics also helps Data to Value with its assessments of client information, giving it the insight as to where its clients can improve.
On-demand television has rapidly grown in popularity thanks to the emergence of mobile devices, so now we can catch up with all the programmes that we have missed. However, there can often be issues with data connection speeds, leaving viewers frustrated as they sit and wait for their video to stop buffering every 5 seconds.
Taking this into account, dailyme TV went about developing a service which would allow users to watch whatever they want offline, so they did not need to worry about slow download speeds when streaming their favourite show. In fact, this idea has been such a success that dailyme TV has roughly 5 million users watching videos each month, and now has 500,000 unique mobile users for its phone app.
To provide the best service for its customers though, dailyme TV needed to make sure it was using all the data it collected to its full potential. The rapidly growing company found it was much more cost effective to use a cloud-based database solution, so found an option which was easy to integrate into their current systems. This has allow it to make numerous real-time queries to help assist customers with any issues they have. It has also enabled the company to identify what its users are and are not watching to help provide a better service and maintain a high-level of user satisfaction, which encourages them to keep coming back and watching videos on dailyme TV.
By Sean Jackson, Chief Marketing Officer at EXASOL