10 Big Data Trends Every CIO Should Know
Big data has occupied a disproportionate chunk of conversations for some time now. In 2014, organizations invested millions on infrastructure, manpower and cloud based platforms in their effort to tame the Big Data monster. This year too, enterprises will see much happening in the Big Data space, believes Satyakam Mohanty, CEO, Ma Foi Analytics.
“We believe several tech trends will have a huge impact not only on how organizations deal with Big Data, but more importantly on what impact this will help on the world around us and how organisations could use it to drive the outcomes they seek,” he states.
Mohanty puts down his thoughts on some of the big tech trends that will impact big data, which IT leaders and decision makers should focus on in the coming months.
1. Mobility will come of age: With smarter phones and wearable devices computing is going way beyond the PC. Already, most of the online platforms see more and more users accessing data from smartphones and tablets as from the PC. This trend is catching up with e mail, spreadsheet, and documentation and docs to go applications as well and we’ll soon see more data and information being created, stored and processed on portable mobile devices rather than PCs.
2. The Cloud will become more meaningful: Cloud goes hand in hand with mobility. Most of the frequently used applications are available on the cloud – bulk e- mail and newsletter applications, survey apps etc. This trend of centrally created applications, deliverable to any device will continue and strengthen. Given the elasticity in scaling and self-service computing, both internal and external applications will be built on the cloud. While internet costs may continue to favour using the storage and intelligence of client devices, coordination and management of applications will rapidly move to the cloud.
3. From things on the internet to the Internet of Things: Think of how the internet and smart mobile devices created the new world of ‘big data’ in the last few years by allowing anytime , anywhere access and sharing of information with anyone! What if wewere to tell you that this may soon be passé? That a bigger revolution is upon us. Enter the Internet of Things (IoT), a brave new world where existing technologies – sensors, RFID chips, scanners, the internet and local networks enable machines and other inanimate objects to capture and stream consistent and uninterrupteddata that is easy to read and analyse the promise to change the way we live, work and do business.
4. There’s no escaping Analytics: With the volume and velocity of structured and unstructured data rushing in, both from within and outside the organisation, Analytics will take centre-stage. All apps will need to become analytical apps. To quote an authority on the topic, “Organizations need to manage how best to filter the huge amounts of data coming from the IoT, social media and wearable devices, and then deliver exactly the right information to the right person, at the right time. Analytics will become deeply, but invisibly embedded everywhere.”
5. Artificial Intelligence and Robotics: Artificial intelligence and robotics will play a major role in 2015. Most wearable devices and sensors need to be aligned with the way humans think and act, so that complex work can be programmed and automated. Be it auto driven cars or sensor driven activities, the use of artificial intelligence will makeevents more predictable and insights more actionable.
6. Image Processing and analysis: Pixel analysis and image processing is being talked about in the Analytics industry already but will really take off in 2015. In the healthcare sector for instance, reading medical images and subsequently analysing them with accuracy and making recommendations is a real challenge. There is no software product in the market to analyze medical images and since we are heading towards another year with big data, this opportunity will ignite many minds to come up with ideas and solutions.
7. Cloud Automation and data security: Cloud automation and management is another emerging field, where a lot of thought seems to drive value. Automated task management gives IT the flexibility to define a task, set policies for implementation, design criteria for performance checks and finally track the events end-to-end.
8. ‘Value’ will drive Big Data conversations: Big Data’s been bandied about so much and for so long that it’s time for people to stop talking and start doing. The focus of Big Data has largely been around three Vs: Volume, Velocity and Variety. Other Vs have come into circulation lately: Validity, Veracity and Visibility have all entered the lexicon. However the most critical ‘V’ in 2015 is going to be ‘Value’. The usefulness of data to those consuming it and the ability to use it to gain insight and take action easily supersedes more ‘vanity’ issues like quantum, speed and type. As far as Big Data is concerned, it’s time to walk the talk.
9. Data Scientist’s role will be pivotal: The Data Scientist will work shoulder to shoulder with the software engineer in the battle for Big Data. The need to analyze and integrate structured and unstructured data from various sources and draw meaningful insights that can be acted upon, makes the multi - skilled data scientist indispensable.. The Data Scientist will need to combine knowledge of conventional and new age analytical tools with a good understanding of technology as well as a head for business!
10. Analytics will go real time: A lot of excellent analytics unfortunately reaches decision makers too late to be useful. Real Time analytics is much in demand, but has so far scarcely been available. Many companies have built theinfrastructure to collect information and data for performing analytics, it is now time for these organisations to now use this infrastructure to not only perform analysis, but also to make insights available in real time so that appropriate actions can be taken, before it’s too late.
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