Analytics and Big Data
Big data Using analysis to avoid paralysis
Data drives today’s economy but it is not, as it is often described, “the new oil”. There’s only a finite amount of oil.
But data keeps growing, and far faster than human beings can sift through it. The irony is, it’s human beings generating it. So it’s up to ever more intelligent and efficient machines to help us understand our customers, our prospects, our suppliers and ourselves.
Key Performance Indicators
Prebuilt, Business-Specific Applications
The difference between data and information is whether it’s useful and actionable, so the challenge of big data analytics is to transform the former into the latter. Integrated tools, pre-built templates and managed services are important elements of any big data suite but, although they are necessary, they are not sufficient. Big data isn’t fully managed until it can connect to the databases, flat files, business logic software and even social media platforms to which your organization subscribes.
When Comptech Associates’ clients get this right, though, they turn the data that comes in from mobile devices, remote sensors and social networks into business decisions that increase revenues and enhance efficiency.
Faster Time-To-Insight
What gets measured gets done. That’s why it’s important to baseline your organization’s migration to a DevOps environment, then establish key performance indicators. Comptech Associates offers eight KPI categories, mapping to the eight steps of the DevOps iterative process, which you can set quantitative goals.
Start with the planning step by stating goals, ensuring they’re understood, and aligning activities toward them. Next, make sure your code is as uncomplicated and high-quality as you can make it. Then be sure to hit your lead time and cycle time objectives as you go about building the solution. Following that, don’t skimp on testing; hit those open/close rate metrics as well.
At this point, you’re only halfway through the process. Speed to deployment is one major benefit of working in a DevOps environment, but it should also have benefits for operations and monitoring procedures ought to be in place to ensure that these benefits are recognized. Ultimately, as technological changes are released in this new ecosystem, organizational changes should follow; silos should break down and different IT teams should come to trust and rely upon each other more.
Without KPIs mapped to these activities, it’s difficult to know how successfully you’ve introduced DevOps into your enterprise.
Modular Platform
By combining modules, product data can be transmitted, a layered structure can be built and new application protocols can be formed. This kind of architecture greatly simplifies implementation of a big data platform.
Orchestrating an array of interface, management and application modules can all get very complex very quickly, so experts such as those available through Comptech Associates can be especially helpful sorting through these modules and delivering an optimal big data architecture.
How big data analytics can help you today
Ultimately, building a big data platform and pursuing the analytics it yields is probably worth the effort and added complexity. Your organization could benefit from:
- More accurate data,
- Increased workplace efficiency,
- Actionable answers to complicated questions and
- Added layers of security.
Comptech Associates has the expertise to help you select the build that multilayer, modular structure from the bare metal up, and then use it to answer important questions that you might not be able to form yet – but your competitors do.