The data game is all about gaining insights. Endless streams of data won’t be able to do much for you if you don’t have a way to analyze and build upon the information that is so freely flowing into your hands. Far too many enterprises settle for inflexible, one-size-fits-all platforms when it comes to data acquisition and analysis. The truth is that every enterprise needs a plan in place for data collection and analysis that offers a reliable, user-friendly means of utilizing relevant information. There are some key features to look for when shopping around for a data-collecting platform. Below are the four big things every enterprise should take into account when it’s time to invest in a data platform.
A picture is worth a thousand words. This is especially true in the world of data analysis. The platform an enterprise chooses shouldn’t leave a long paper trail. Extensive reports can be useful when it’s time to really dive in and dissect data. However, they aren’t necessary for day-to-day analysis. It is important to choose a platform that offers comprehensive visual tools.
It is well noted that visuals improve the decision-making process for most individuals. Visual tools are helpful because they allow analysts to interpret data without the need for complicated and expensive custom or third-party software. Both of those things can be susceptible to failures, security blind spots and constant requirements for upgrades. In addition, visual reports make it easy for group discussion in real time. They provide an easy tool for making timely decisions about what is or isn’t working.
Every enterprise is like its own unique ecosystem of ideas, ideals and procedures. One of the worst things that an enterprise can do is try to mold their ecosystem to fit a one-size-fits all platform. However, this is what so many businesses and organizations do when they choose a platform that runs off of open-source code. This approach might work for a large corporation with a team of developers capable of tweaking unwieldy code around the clock. However, it simply won’t work for the average enterprise. Just trying to figure out how to tweak or tame certain features could drain the time and resources of a technical department. A better solution is to use a customizable big data analytics platform that allows developers to focus on enhancing performance and solving core business problems. The bottom line is that every enterprise needs a platform that is an asset to be maximized instead of a problem to be fixed.
Getting a data platform to behave shouldn’t be the daily battle of a development team. However, many enterprises make the mistake of using a platform that is essentially an adversary to the average developer. Developers should be able to work with clear-cut tools and visuals instead of needing to create cumbersome code just to get a platform to behave the way they want it to. Some out-of-the-box features to look for include:
- Streaming analytics solutions with connectors to support fault-tolerant and auto-scaling data ingestion.
- Support for the distribution of data sources and analytics destinations.
- Common data analytics capabilities, including joins, aggregations and statistical analysis.
- Complex capabilities like dimensional cube creations and integration with machine learning tools.
- Automatic implementation of data aggregations over varying windows.
There just isn’t any room for downtime in the data game. That’s why it is so essential to look for streaming analytics applications with zero downtime. It is critical that data center operations teams can guarantee the full lifecycle of application deployment without hiccups. This includes monitoring, updating and problem resolution in both local deployments and cloud deployments.
The first step in the process of making Big Data work for you is to make sure you know what you’re looking for in an analytics platform. A platform is only as good as your ability to use it so make sure to consider these tips for your business.