Why do we Struggle With Big Data ?

The old saw tells us “If it was easy anyone could do it and everyone would.” Turns out, getting useful information can be very difficult for some very real and valid reasons:


The typical business looks a bit like this chart above.

The typical business looks a bit like this chart above.

The typical business looks a bit like this chart above.

You still need your Information.Exactly.Now. You want your business to look like the chart above.

The data is not all in one place

Your metrics and measurements are typically scattered across disparate manufacturing control systems, multiple separate applications, and across the Enterprise. If you have an Enterprise Resource Planning (ERP) system you will likely have data that resides in multiple tables across multiple modules. Often this data exists in a variety of different or incompatible formats. In short, it is not all connected and the systems are not easy
to connect.

You can’t get to it all at once

Because the data is highly distributed, there is no one repository where it exists concurrently so it becomes difficult to mine. Even when you gather all of the data, most systems require jobs to be run to process the data and then generate reports and, potentially, dashboards. Due to the amount of information, processing usually results in batch jobs to move data to a warehouse against which analysis and reports are run. Even when that is not the case, most organizations limit the amount of reporting during prime hours to mitigate performance impacts against operational systems. In short, you usually can’t get real or near-real time information.

Implementation is expensive

With conventional solutions, interfacing these disparate systems, mining the data, and creating the appropriate reports are all highly technical activities requiring skilled staff. Conveying requirements and developing solutions is expensive and usually competes with a wide array of other Enterprise priorities for these precious resources. Maintenance also contends for these same resources.

Will it help?

Assuming you get approval for resources and convey the information you wish to achieve, conventional systems still produce relatively static snapshots that challenge efficient use. You still need the information that allows you to run your business based on your experience and to see the effect of your decisions.


There is a solution to this dilemma: a new way of looking at data, and information; a new way of tying it all together so you have what you need to do your job. It is Fraysen Systems. Contact us today , to analysis your specific issues, help you wrangle your data in a way that is useful, and necessary for your companies success.