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SAS® Model Manager to Speed Value of Predictive Analytics

SAS, the leader in business intelligence, will ship new predictive analytics software, SAS Model Manager, this November. Organisations rely on analytical models for strategic and tactical decision-making, such as estimating risk exposure, analysing business strategies and determining optimal customer treatment in a competitive environment. As models play an increasingly important role in business processes, it is critical that management reduce the likelihood of erroneous model output or incorrect interpretation of model results. This new SAS offering will help deploy analytic results to decision makers worldwide.

As more analytical models are implemented into operational systems, model decay becomes a challenge. Retaining poorly performing models in production status is bad for business. The SAS enterprise model management framework supports best practices for organising and tracking the tasks of model development; model verification and testing; comparative model performance benchmarking, publishing and sharing model performance data and metrics over established reporting channels; until the retirement of the model when eventually it is pulled from production status. SAS calls this “lifecycle analytics.”

At Swisscom, leading telecommunications company in Switzerland, they appreciate SAS Model Manager. It centrally organises, classifies and assesses models for them and thereby reduces complexity. With Model Manager, it is easier to determine which model is best used in which situation and to ensure correct results.

Effective analytical models are high-value assets and must be well managed for optimum performance. This new SAS offering is the best defence against such “model risk” with its robust validation and detailed systems of checks and balances that continually verify the accuracy and usefulness of the analytical models. SAS Model Manager enables the transfer of analytics from the environment where they were originally created to the production operational environment with a consistent, repeatable process.

"With this latest offering, SAS is well positioned to address the whole process of model creation, management and deployment for optimal model performance," said Dan Vesset, Research Director for IDC.

"This tool offers a level of control and standardisation for our modelling process that we haven't seen anywhere else," says Robin Stewart, Senior Manager Customer Acquisition & Development for BMO Bank of Montreal Cardholder Services. "The amount of time spent managing the life cycle of our models would be greatly reduced by using SAS Model Manager, saving us valuable time and reducing our total cost of ownership."

“As we enter a new age of operational analytics and an increasing regulatory environment, leading organisations understand the requirement to treat the management of analytics as a life cycle,” said Keith Collins, CTO at SAS. “Whether your portfolio is a couple of models or a couple hundred models there is a real opportunity to streamline the manual implementation process. SAS Enterprise Model Management elegantly addresses that need, bridging the gap that has existed between the model development and the model scoring environment. It is the only software on the market with a patented, secure model repository and rich metadata structure to enable the deployment of analytics.”

SAS Model Manager is integrated with award-winning SAS Enterprise Miner™, a rich suite of data mining tools that empowers users to explore and exploit corporate data for strategic business advantage. SAS Enterprise Model Management is part of the SAS Enterprise Intelligence Platform which optimally integrates individual technology components within an existing IT infrastructure into a single, unified system. The result is an information flow that transcends organisational silos, diverse computing platforms and niche tools – and delivers new insights that drive value for your organisation.