Future of SMAC (Social, Mobile , Analytics and Cloud computing)
Social networking. Social data includes information harnessed from the likes of Twitter, Facebook, LinkedIn and whatsapp to uncover the “timelines” of a customer base: What they talk about, what they are interested in, what they are looking forward to and what are their basic family demographics
Mobile devices. Mobile devices are the cornerstone of how new business is being built. Mobile devices allow users to constantly update their profile, stay aware of deals and promotions, and track locations and buying habits by virtue of connecting to various wireless signals and devices
Analytics programs. As databases have grown larger and processors and memory Big data came into picture we have begun to see how analytics can do more than just track clicks. Analytics can establish links between entities and make intelligent predictions about customer behaviour based on knowledge a system has about a customer
Cloud computing. The cloud element of SMAC refers to the capability a business has to spin up vast amounts of capacity that are paid for by the minute or hour. Businesses do not need to spend millions of amount building another data warehouse – they simply rent it from a cloud provider, do their work and turn it off. When the business environment changes, they simply spin up another cluster in the cloud.
Future of SMAC and Road Map
Social
Present Facebook has a billion users, Twitter has hundreds of millions and LinkedIn is the de facto professional networking site. In Future all the social networking sites continue to see these s monetizing content -- whether directly (through ads) or indirectly (to convince people to use their APIs)
Mobile
Future is mobile era Thanks to smartphones, hundreds of millions of people have mobile and the momentum continues.
The power of mobile is going towards the concept of making phones to such technology Apple Pay allows Apple, CREDIT CARDcompanies and merchants to gather: location, time and date, identity, available cards, available balance, type of phone, sequence of purchases, ratio of Apple Pay purchases to regular card-style transactions, wireless carrier of choice, average battery charge (great for considering what impulse buys happen after a long day out) and even more. So many data points, and they are only increasing.
Analytics
increasing data points, analytics solutions are need of the day. M2M/IoT Between machine-learning services and internet of things, which let computers march through data to learn patterns and insights, and the advent of new types of databases and big data , analytics grows more powerful by the day.
Visualization now graph databases -- databases that are built, not to relate rows and tables, but to relate entities with one another.
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