As organizations seek to not simply corral data, but apply it strategically across the business, analytics experts are making their way into the C-suite.
The C-suite may need a bigger boardroom. As organizations expand their executive teams with new C-level titles that underscore their digital transformations in-progress, the role of chief analytics officer is gaining traction.
Driven by organizations’ desire to turn big data into a strategic asset, the CAO is finding a home in data-rich industries such as financial services and healthcare. Although still not as prevalent as two other newish C-suite roles — the chief digital officer and chief data officer — the CAO may represent an inflection point in an organization’s digital journey, signaling a move from managing data to applying it more strategically across the business.
Chief analytics officer: The ultimate big data job?
Conventional IT wisdom says that you’re safer and more secure when you control your own on-premises datacenter. Yet if you think about every major data breach over the last two years, whether Anthem, Sony, JPMorgan or Target, all involved on-premises datacenters, not the cloud.
In fact, if a cloud service has proper controls, it could be safer than running your own datacenter.
Having your data onsite is no guarantee it’s going to be safe, quite the opposite. The cloud may offer the best hope we have at this point, which is fairly ironic given that security has often been the chief criticism of cloud computing from the start. Yet in the end, the cloud may be your most secure bet.
The Cloud Could Be Your Best Security Bet
The IT industry creates new buzzwords every few years and this year everyone is talking about Internet of Things and Internet of Everything.
But what really is the true definition of IoT and what are its constituents? How should businesses prepare?
There are several definitions. But IoT or IoE is really about networks, devices, people and processes – and how these are all getting interconnected. The enabling technologies are mobility, cloud computing, big data analytics and social – a collective term for this is SMAC.
For IoT to be widely accepted and implemented, there are 2 or 3 things that need to happen:
- Businesses need to become IoT ready by upgrading its infrastructure, re-engineering processes and business models, and infusing an IoT culture in the organization.
- We need to have widely accepted industry standards, compliance, frameworks and protocols, through strong consortiums.
- Businesses need to be crystal clear about what they want to achieve with IoT – beginning with the end in mind.
How Businesses Should Prepare For Internet Of Things.
Facebook, Twitter, Pinterest. Destroyers of our attention span or innovations that make us smarter and closer? We’re still trying to understand how today’s technologies—which many can’t seem to live without—are transforming us.
Still, there is one change they’ve brought about that’s indisputably positive, one that most people intuitively get.And it’s this: if we live in an information age, then the flip side is we’re all information analysts.
Cloud computing, mobile and social computing are all changing how we communicate. Our strategy for big data and analytics has some core tenants, which provide a common experience. The combination of cloud, social, mobile and big data and analytics provides the user with a role-specific experience that is easy-to-use and customizable. The cloud enables organizations to start small, grow rapidly and scale massively.
Why Big Data Is The New Natural Resource.
Companies are jumping on the Internet of Things (IoT) bandwagon and for good reasons.
The Internet Of Things Will Radically Change Your Big Data Strategy – Forbes.
When it comes to adopting big data, midmarket firms have three advantages:
- Their networks play nice with each other. Besides departmental data fiefdoms, large enterprises have lots of legacy computer systems, which have trouble sharing data. Midmarket companies, though, have more flexibility in flowing big-data projects and budgets across departments.
- The top people really care. At midmarket firms, the CEO is involved, and big data has his mindshare. At large enterprises, the CEOs have a lot of other things on their plate.
- They want to break into the big leagues. Midmarket companies become even more interested in big data as they grow. When they’re on the verge of competing with the largest enterprises head-to-head, they realize they need to improve efficiencies and hone their marketing—key things big data can help them do.
Sponsor Generated Content: Mid-Size Companies are the Biggest Adopters of Big Data.