Want to help your project teams hit revenue and margin targets? And keep hitting them? The top five percent of professional services organizations (PSOs) are growing faster, earning more revenue, and reaping higher project profits than their competitors. All because of greater real-time visibility and control over their project plans, schedules, costs, and budgets. Download this eGuide to learn how to drive the efficiencies and repeatable processes market leaders rely on.
As IT departments’ lists of backlogged application development projects keep growing, so does the speed of new development requests from line-of-business personnel. For many IT departments, the speed of business — the speed of requests for additional developments — can’t be met under current practices. This inability to keep pace with critical development requests, supporting timely strategy modifications, seriously impacts an enterprise’s profitability. The solution FICO advocates — one that accounts for budget constraints, legacy operational realities and quality assurance — is to empower line-of-business personnel as Citizen Developers, giving them the right set of technology assets to quickly, safely and cost effectively participate in application development.
Published By: Red Hat
Published Date: Sep 08, 2017
TransUnion, a leading global risk and information solutions provider, used mainframe computers to support its global business. To improve IT performance and costs, the company launched an initiative, Project Spark, to migrate all of its applications and systems to a Red Hat® operating environment. With the new infrastructure—based on Red Hat Enterprise Linux®, Red Hat JBoss® Middleware, and other Red Hat products—TransUnion achieved faster time to market, greater competitive advantage, improved employee satisfaction, and significant operating cost savings.
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have.
DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost.
Join our webinar to learn:
Why you don’t need to be an expert in data science to create accurate predictive models.
How you can build and deploy pr
Professional Services Automation Software: What’s the Value for Your Business? Why Professional Services Automation Software? Your service business is highly competitive,regulated, and fast. Your project teams operate in multiple time zones and currencies. You have to deal with complex revenue recognition and cost accounting rules while at the same time meeting lofty utilization targets. You need dependable utilization and demand forecasts so you can staff and train your teams accordingly. At the same time, you have to deal with multiple billing scenarios since your projects range from fixed bid, milestone driven, or time and material. Not to mention keeping a good handle on your resource pool, both full time staff, part timers, and your consultants, the skills they have acquired, their experience, general interests and preferences, and availability.
Instead of only managing projects, organizations do need to manage value! "Doing the right things" and "doing things right" are the essential ingredients for successful software and systems delivery. Unfortunately, with distributed delivery spanning multiple disciplines, geographies and time zones, many organizations struggle with teams working in silos, broken lines of communication, lack of collaboration, inadequate traceability, and poor project visibility. This often results in organizations "doing the wrong things" and "doing things wrong", with associated higher costs, project delays and lower quality.
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