An automated ETL tool typically provides a visual environment or platform that lets you see large parts of the ETL process (e.g. where the data is coming from and going, which calculations are performed on it, etc.) in ways that old code practices—however carefully crafted and documented—will never be able to replicate.
As we have offered many times over the past 18 months, the sooner and more efficiently you get your data out of silos, the better able you are to make analytical and predictive uses of your data. Now that always leads to one of the biggest benefits of big data.
Here are a few big data benefits:
- Predictive modeling, which involves running simulations to predict the outcome of altering variables in a dataset, is one of those rewards at the end of your data rainbow.
- With huge amounts of data from many different data points, the relationships between different variables can be examined in detail. This has proven advantageous in many circumstances, where analysts have found that tweaking a certain variable had unexpected consequences or outcomes.
- Big data can highlight dangers looming on the horizon by showing what the likely consequences of a path of action will be. This has extended into the physical world, where machinery fitted with sensors that constantly feed data on their operations are becoming widespread across the industry.
Your big data systems can even build up an extensive understanding of how a machine works and when it is likely to go wrong, meaning that repairs can be scheduled, reducing costly downtime to a minimum. Flaws in the design or manufacturing process can be identified at an early stage.
Data always contains surprises. Tailor transformations to any event or field with our custom ETL Plus service. Explore your data in real-time, write alerts, and get notifications. Get your data out of silos, off other servers, and into your agile data management and planning streams.
And protect it.
As mobile computing advances, information management leadership will be called upon to safeguard equipment, data, and applications that employees will be operating at any time and from anywhere.
To accomplish this, your analysts must implement security systems for mobile and IoT applications that must be agile, robust, and able to function within, at, and beyond the edge of the enterprise network. Equally important will be aggressive policy development and training of employees, who can often be a leading source of mobile computing security abuse.
These devices are used externally as well as internally within companies. With the amount of time that a mobile device is used off premises, risks of device loss, data loss, or security breaches escalate.
So, too, does the risk of devices being misused by those who are both authorized and unauthorized to use them. Latch on to a partner who can accelerate your data transformation, making your data visual, usable, and immediately more agile!
Our Austin, Texas location keeps us at the epicenter of software engineering innovation and keeps Management Information Analysis’ global capabilities at the forefront of our industry.
Call us to start a friendly and productive conversation. 512-478-3848.