Improved availability of data and new technologies that use it are disrupting our lives, influencing the way we interact with other, and the way we gather and consume information to make decisions. Businesses too are living in a time of continuous technological upheaval. The application of key technologies such as Machine Learning and Artificial Intelligence and Optimization, are fundamentally changing the manner in which businesses make decisions.
This paper is your first step in understanding:
• how you can leverage and operationalize analytics in your everyday business processes
• improve customer relationships
• grow revenue in an increasingly competitive world
Global organizations such as Nestle?, Shell and others retain their leadership by solving their toughest challenges with advanced optimization. Manufacturers are seeking ways to apply advanced analytics and optimization through the entire planning and production lifecycle. This can help you achieve:
Improved profitability, reliability and revenue by 10% or more
Deploy a new planning solution in as little as 3 months
Compute ready-to-implement plans for complex tasks within minutes
Reduce your dependence on IT and rapidly evolve solutions
Leverage industry-leading analytics and optimization and innovative modeling methodologies
Monetise your existing analytic, ERP and other solutions, accelerate growth and reduce costs
Learn How Three Manufacturers Are Using Optimization to Revolutionize Manufacturing
The role of analytics in managing, improving and ultimately transforming supply chains cannot be understated. But what about the analytics themselves? FICO’s Zahir Balaporia and renowned author Tom Davenport use the term “The Analytics Supply Chain” to reflect that the actual analytics themselves parallel supply chains, with inherent challenges and problems if things “get stuck.” Rethinking analytics in these terms can not only improve supply chain performance, but also any other business problems you seek to solve.
This article targets:
· Steps in the analytics supply chain and the vital role of data and analytic models
· How your predictions, recommendations and insights need to rely on similar attributes to finished manufactured products;
· Key questions to ask yourself in determining where you need to fix your analytics supply chain.
Sales and Operations Planning (S&OP) isn’t just about aligning supply and demand. Ultimately, businesses across all industries need to synchronize plans across all functions to strike the right balance between demand, resources and other constraints. Companies are realizing that their use of analytics to help improve decision making needs to evolve beyond just reporting to include machine learning and optimization.
Download our latest Q&A now with published author and supply chain expert Mike Watson, and learn how virtually any S&OP decision can benefit from advanced analytics and automation. You’ll get practical advice to help build a strawman, so you can move forward quickly – before your competitors!
Read this Executive Brief to know the Top 7 Questions to ask before deploying your Sales and Operations planning.
Competing in telecommunications markets is becoming extremely complicated. Responding to disruptive change from many directions, telecom companies are experimenting with new business models and offering new types of services. With this comes the potential to draw new waves of regulatory oversight, further complicating the picture.
Agencies have long provided telecommunications companies with scalability for collections in a high-growth industry. Today, with markets and business models changing, your collections agencies have a growing impact — for good or ill — on your success.
In saturated, contested telecom markets, credit origination has become a strategically important capability in acquiring and retaining the right mix of customers. Being quick and adept at making enormously complex decisions — involving product bundle eligibility and pricing, deposits, credit limits, device financing rates and terms — has far-reaching effects beyond market share and current revenue.
Today it's easy for customers to leave, and they have fewer reasons to stay. In saturated telecom markets, competitors offer similarly high levels of coverage and service. Years of price-based competition have left little room for differentiation and margins are stretched thin.
When automating decisions, organizations need a platform for defining the policies and regulations that drive those decisions. Choosing the right business rules management system is not enough to pick the right technology.
Published By: Red Hat
Published Date: Jun 23, 2016
FICO, a data analytics software company, wanted to diversify into new markets its core offering of providing on-premise software to major corporations. To do this, the company launched FICO Analytic Cloud, a cloud delivery channel that enables FICO to serve organizations of all sizes. FICO Analytic Cloud was first launched in 2013 and provides Platform-as-a-Service (PaaS) access to FICO Decision Management Platform, which allows customers to use FICO tools and technology to create, customize, and deploy applications and services. FICO Decision Management Platform is built on OpenShift Enterprise by Red Hat, which provides the PaaS tools and support FICO needed to rapidly scale the platform and Analytic Cloud.
Published By: Red Hat
Published Date: Nov 30, 2015
FICO, a financial services provider, wanted to address small-to-medium business (SMB) and midmarket customer requests for solutions without on-premise installation. To transition from an on-premise model to a cloud- and services-based infrastructure, FICO chose to build an OpenStack® cloud using Red Hat® solutions, including OpenShift by Red Hat and Red Hat Enterprise Linux® OpenStack Platform. As a result, FICO generated US$10 million in sales to new customers, reduced solution time to market by 50%, and lowered storage and overall infrastructure costs.
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.
As any line of business (LOB) leader knows, making customer level decisions that balance risk and profit just keeps getting harder. And even when you think you have the right decisions, turning them into actions can be even trickier. You also need to consider the factors that make smart decisions difficult. Big data. Regulations. Customers who want an offer, fast, or else you’re going to lose them.
With the increasing mainstream adoption of big data infrastructure — highly distributed file storage and query tools — more businesses are taking a new look at what business intelligence and analytics can do to grow revenue, increase profits and ultimately develop strategic relationships with customers.
The bank wanted to be more consistent, agile and segmented with its implementation of strategies in origination and account management. By applying decision management technology, they were able to achieve success. Download now to learn more.