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It is a performance-driven world. Customers demand it. Shareholders demand it. Business analysts demand it. Company executives demand it. Managers demand it. There is no question that lack of performance has serious ramifications.

As competitive pressures escalate, costs of doing business increase, regulatory requirements become more stringent, and expectations for doing more with less become standard business mantra. Successful companies cannot afford to underperform.

In a world obsessed with performance, manufacturing companies must develop a solid productivity culture and strategy in order to successfully negotiate the serious challenges involved in achieving continuous improvement. In order to overcome this serious challenge, one of the first key steps is to understand the roots of poor performance.

Although the causes of poor performance can be quite widespread, in general, they may be attributed to the following:

  • Lack of solid strategy: flavor-of-the-day plans
  • Unattainable expectations
  • Bad assumptions
  • Lack of effective training and tools
  • Poor information leading to bad decision making


Untimely information can often lead to poor decision making and significantly decrease positive improvements

It is not hard to see that poor and untimely information can significantly impact decision-making. Imagine how many times during the course of a regular business day opportunities for making positive contributions and improving performance are squandered because decision makers don’t have access to the intelligence they need.

In the past, without proper technological tools, many managers relied on experience and intuition to make judgment calls.

In many cases the various business systems deployed throughout the enterprise are more akin to islands and fiefdoms instead of integrated operations that freely exchange accurate information. There are many legitimate challenges in effectively integrating dissimilar systems. The sheer magnitude of effort, expense, and business disruption is quite immmense. So what is the answer?

An Effective Way Forward

Do companies have to scrap most of their business and manufacturing systems first and start with homogeneous solutions? Do they really need to integrate ALL systems before they can benefit from timely, accurate, consistent, and actionable information—information that they can use to make significantly better decisions in real-time?
For some time now, many manufacturers have searched to deploy IT-based, end-to-end enterprise applications that in theory, should resolve the problems with information management. Many of these endeavors have proven to be quite costly, time-consuming, and only partially successful.

On the surface having a unified solution across the enterprise sounds exactly like what is needed: no more isolated islands of information, no more bad information, no more speculation, no more guessing, and henceforth, intelligent decision making.

Having a software solution in place can completely change the complexity of the factory, not only from a compliance viewpoint, but also from a Continuous Improvement and real-time analysis viewpoint.

In actuality, the results have been less-than-ideal because:

  • There are many complexities in manufacturing operations.
  • It’s very difficult to be an expert in all aspects of enterprise manufacturing.
  • Many of the components (offered by end-to-end solution providers have been obtained through acquisition, are) themselves, are not well integrated.

In many instances, the solution may be found by improving the functionality of the already-deployed systems and applications. The question is whether it would be possible to leverage the existing assets and resources—without having to replace them—in order to quickly, economically, and (with little disruption) significantly improve productivity?

This is an appealing approach if it doesn’t prove to be as difficult as the idea of end-to-end enterprise applications.
For this to work, the solution must:

  • Not disrupt operations, existing applications, or systems.
  • Collect data from existing systems and applications.
  • Allow validated and streamlined manual data entry.
  • Selectively and non-intrusively involve users to contextualize the collected data.
  • Provide configurable and rules-based analytics.

Guess Less, Accomplish More

However, if data mining is only focused on automatic operations, a significant and relevant opportunity for performance gains is overlooked. That is why TrakSYS™ allows four modes of data collection for maximizing the context and contrast needed to evolve data into actionable intelligence:

  • Automatic
  • Interactive
  • Semi-Automatic
  • Manual

The user may decide what sources to connect to for gathering real-time data with the added confidence that at any time, the application can scale to include additional sources of data.

While the ability for non-intrusive data collection is critical, it is the seamless delivery of the information to the users, based on their personal preferences, that truly makes TrakSYS™ a powerful decision support tool. TrakSYS™ makes it possible to put the exact information needed for critical decision making in real-time, regardless of where the users are.

Whether in the office, on the production floor, at home, or on the road, TrakSYS™ keeps the users informed and empowered to consistently make positive contributions to productivity. By eliminating the guesswork and reducing reliance on intuition alone—and without having to get tangled in end-to-end application integration—TrakSYS™ users will accomplish significant gains in productivity within a short time.

Better decisions really do make a significant difference, especially when these decisions can prevent undesired events and results.

It is good to know why things happened the way they did, however, it is much better to also have a realistic opportunity to actually address issues in real-time and meet business and production goals, every time.

Before, during, and after your quest for integrated systems, TrakSYS™ provides you with the opportunity to continuously improve by staying ahead instead of constantly trying to catch up.

Learn more about it with this free whitepaper : Download now for free

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