Success Stories

Our client’s success in meeting their goals is our most important objective.

Successfully Predicting Failures

Successfully Predicting Failures

Large airlines tie up millions of dollars each year holding inventory of excess parts in order to support the unplanned replacing of parts.  They spend millions of dollars each year moving those parts from one maintenance location to another in order to ensure that they have the parts on hand when they have to perform maintenance on their planes.

The stocking levels for the spare parts were often determined based on actual usage requirements and limited forecasts.  Not having the needed part on hand in the right maintenance location caused out of stock conditions which grounds aircraft that cost the airlines money, negative impacts consumer experiences, and negatively impacts the reliability numbers that the airlines are measured against.  In order to limit this, airlines hold excess inventory which costs them millions of dollars a year.  Without analytical tools, there was no ability to see trends in part usage aside from raw historical use. The airline was also not able to determine if maintenance should be done earlier than scheduled when the part and the plan were in the same location.

How We Solved It

Trillium was brought in to manage the requirements gathering, data mining, design and implementation of new Supply Chain Software and predictive analytics solutions and then coordinate the activities of 6 best of breed consulting companies to implement these new tools.  Trillium also designed and developed tools to simplify the integration of these new tools into the airlines legacy environment.  In addition, Trillium designed and developed key reporting components to support the clients decision making process.

Results

  • Management of over 450,000 bin locations is no longer a manually intensive and reactive activity.
  • Procurement of parts is now done objectively using forecasts with measurable error rates allowing departments to make decisions based on rel
  • Annual carrying cost for parts was reduced by over $100 million
  • Shipping costs were reduced by over $50 million a year transferring parts between maintenance facilities.
  • Tight integration with the existing legacy system reduces the risk of unnecessary overstocking and stock-outs.

Download this Success Story »

Predicting Patient Readmittance

Predicting Patient Readmittance

Most healthcare organizations are drowning in data but are challenged to gain reliable, actionable insights from this information.  It is in the form of physician notes, registration forms, discharge summaries, documents and more.  This data is doubling every five years.  Different from machine-ready data, this content lacks structure and is arduous for healthcare enterprises to include in business analysis and therefore is routinely left out. As a result, millions of patient notes and records often sit unavailable in separate clinical data silos. This content contains valuable information, but there’s historically been no easy way to analyze it.  While there’s no silver bullet for preventing all re-admissions, hospitals and health providers can take action to significantly decrease the occurrence.

More than 80% of the client’s data was unstructured. It was in the form of physician notes, registration forms, discharge summaries, echocardiograms, and other medical documents.  The client knew they had to leverage their wealth of unstructured information to discover new, population-specific clinical and operational insights and significantly reduce the occurrence of high cost CHF re-admissions by proactively identifying patients likely for re-admission and introducing early interventions to reduce cost, mortality rates, and improve patient quality of life.

How We Solved It

Trillium managed the data mining, modeling and implementation team that introduced a healthcare industry software offering that combined content analytics and natural language processing technology that helped both the health care providers and payers improve patient care and reduce costs.
Leading the entire project and predictive analytics solution team while working directly with a world leader in natural language processing, Trillium was able to provide a Content and Predictive Analytics solution that allowed the client to extract relevant clinical information from vast amounts of patient data to better analyze the past, understand the present, and predict future outcomes.

Combining natural language technology with predictive analytics allowed the client to identify the root causes of hospital re-admissions, and the ways it could decrease preventable multiple hospital visits.

Results

  • By predicting readmission candidates and introducing mitigating strategies, the client reduced costly and preventable readmissions by 7%
  • Eliminated the need for traditional analysis a resource intensive task and transformed raw information into healthcare insight quickly.
  • Revealed trends, patterns, deviations, and the probability of outcomes. Enabled client to derive insight in minutes versus weeks or months.

Download this Success Story »

Simultaneous IT Upgrade and Physical Relocation

Simultaneous IT Upgrade and Physical Relocation

Trillium simultaneously coordinated a production upgrade and infrastructure relocation for a leading retail technology company. This client provides retailers with in-store customer behavior tracking devices. To improve its services, the client embarked on a major system upgrade. At the same time, it scheduled a relocation of its physical IT infrastructure. The company planned to move its development server, new Oracle portal server and primary backup server to one locations, while other servers would be moved to the client’s new office space.

Even a typical technology infrastructure transition is an exhaustive test of an IT organization’s ability to re-establish its computing services to a new location with minimal impact to business operations. The client acknowledged that its project was far too complex for its internal resources to handle, so management called Trillium.

How We Solved It

Trillium employed its IT Transitions® methodology to reduce downtime and ensure business continuity during the move

Results

  • Reduced system downtime from a planned 48 hours to just 4 hours
  • Mitigated risk through Trillium’s hour- by-hour planning and communication
  • Streamlined move to new VOIP phone system for a 20 percent cost reduction

Download this Success Story »