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By: SAP Inc.     Published Date: Jul 28, 2009
How can a professional services firm grow profitably while providing clients with the higher-quality service and rock-bottom project pricing they demand? The firm must rely on leading best-practice solutions to gain control over every aspect of its business – from business development to resource planning to client billing.
Tags : sap, professional services firm, business process outsourcing, bpo, resource utilization, project visibility, operational efficiency, market consolidation
     SAP Inc.
By: SAS     Published Date: Sep 09, 2010
This white paper identifies the key issues that must be addressed and provides a clear strategy for solving them.
Tags : sas, business analytics, productivity, operational application, data integration, reporting
     SAS
By: SAS     Published Date: Jul 22, 2011
This Aberdeen Research Brief investigates the key aspects of a Best-in-Class strategy for operational business intelligence (BI).
Tags : sas, aberdeen, aberdeen research, business intelligence, operational
     SAS
By: SAS     Published Date: Mar 20, 2012
The banking sector routinely manages massive amounts of data, ranging from financial transactions to customer, operational and regulatory data. All this data means big challenges - but also big opportunities - for the industry. Find out more now!
Tags : sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
     SAS
By: SAS     Published Date: Mar 14, 2014
The solution to operationalizing analytic s involves the effective combination of a Decision Management approach with a robust, modern analytic technology platform. This paper discusses both how to use a focus on decisions to ensure the right problem gets solved and what such an analytic technology platform looks like.
Tags : sas, predictive analytics, technology platform, solution, operationalizing, production systems
     SAS
By: SAS     Published Date: Mar 14, 2014
This paper will discuss the barriers to data-driven decision making for midsized businesses, and how experts and non-experts alike can use SAS Visual Analytics to unlock the value of data – including big data – to increase revenue, cut operational costs and better manage their business.
Tags : sas, bottom line, midsized businesses, leveraging data, data management, internal and external, decision making, big data
     SAS
By: SAS     Published Date: Sep 30, 2014
When Information Revolution1 was published in 2006, no Chinese based companies were among the top 10 largest companies by market capitalization. Apple didn’t sell phones. Facebook was something college kids used to connect with their friends. Back then, we talked a lot about the amount of data coming in and faster processing speed. What we believed then remains true today: Data, and the decision-making process, can be moved throughout the organization to equip every decision maker (automated, line worker, analyst, executive) to make the best choices. By operationalizing analytics, organizations can identify and quantify both opportunity and risk. Information Revolution highlighted SAS’ Information Evolution Model, which helps organizations understand how they interact with their information and how to extract more value from it through analytics.
Tags : sas, organizational insights, operationalizing analytics, sas’ information evolution model
     SAS
By: SAS     Published Date: Aug 03, 2016
New analytics tools and services are helping organizations extract exceptional business value from the massive volumes of available data provided by various internal and external sources. Many companies are harnessing these insights to improve operational and business processes, troubleshoot problems, identify business opportunities, and generally compete and innovate better. Now the benefits of analytics in those areas are prompting companies to look to analytics to improve information security. Enterprise security organizations are under tremendous pressure to change. Traditional perimeter-focused security controls and strategies have proved inadequate against modern, highly targeted attack campaigns.
Tags : best practices, technology, security, enterprise, analytics
     SAS
By: SAS     Published Date: Aug 03, 2016
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment.
Tags : best practices, embedding analytics, technology, data, operational analytics
     SAS
By: SAS     Published Date: Jun 05, 2017
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
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     SAS
By: SAS     Published Date: Jan 17, 2018
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
Tags : 
     SAS
By: SAS     Published Date: Mar 06, 2018
Today's artifical intelligence (AI) solutions are not sentient in the manner popularized in science fiction by scores of self-aware and typically nefarious androids. Even so, the ability to arm such systems with the ability to directly sense and respond to their in situ environment is critical. Why? In the future, our experiences will be smart, intuitive and informed by analytics that are not seen but felt via new business, personal and operational engagement models. Enabling this interaction requires AI applications that can sense, analyze and respond to their environment in an intelligent and interactive manner. Without requiring the end user to write, understand or interpret code. “Sensitive” artificial intelligence enables: • More productive use of expanded (big, often unstructured) information sources • Intuitive man-machine interactions (no code-speak here!) • Adaptive, immersive experiences and environments As frequently touted on the nightly news, AI’s popularity is clear. Ho
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     SAS
By: SAS     Published Date: Mar 06, 2018
There is a lot of excitement in the market about artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Although many of these technologies have been available for decades, new advancements in compute power along with new algorithmic developments are making these technologies more attractive to early adopter companies. These organizations are embracing advanced analytics technologies for a number of reasons including improving operational efficiencies, better understanding behaviors, and gaining competitive advantage.
Tags : 
     SAS
By: SAS     Published Date: Mar 06, 2018
As explored in this paper, the SAS Fraud Framework supports a complete, modular, enterprise-level program integrity solution that helps payers prevent, detect and manage fraud, waste and abuse across all silos and lines of business. Its fully integrated components offer both top-down and bottom-up functionality for exposing hidden and risky networks. This approach gives payers enhanced detection capabilities, greater insight into case management and improved operational efficiency while decreasing overall cost of ownership. The result is highly effective, early, and even preventative detection of fraud, waste, abuse and corruption that improves operational efficiency and reduces health care costs.
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     SAS
By: SAS     Published Date: Jun 06, 2018
The Internet of Things (IoT) is rapidly emerging as a core transformational technology of the digital era. The ability to gather data from sensors embedded throughout an enterprise can drive insights and operational efficiencies from the supply chain to the customer. But IoT and Industrial IoT (IIoT) implementations require high degrees of IT/OT convergence - collaboration and integration between information technology and operational technology groups - to succeed. These two groups, however, often have different goals, performance metrics, and perspectives on both the collaboration and the outcome. This SAS/HPE-sponsored paper helps readers get a better understanding of the relationship, either real or perceived, between these two groups. Futurum Research surveyed the state of the relationship between IT and OT teams as it pertains to the design, implementation, and creation of value through IoT technologies.
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     SAS
By: SAS     Published Date: Aug 13, 2018
You may know some data management basics, but are you aware of the transformational results that can result from doing data management right? This paper explains core data management capabilities, then describes how a solid data management foundation can help you get more out of your data. Fraudsters are only becoming smarter. How is your organization keeping pace and staying ahead of fraud schemes and regulatory mandates to monitor for them? In this e-book, learn the basics in how to prevent fraud, achieve compliance and preserve security.
Tags : 
     SAS
By: SAS     Published Date: Jan 04, 2019
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
Tags : 
     SAS
By: SAS     Published Date: Jun 27, 2019
The potential for analytics to transform health care – to make it more personalized, intelligent, cost-efficient and effective – is immense. The question is, how will you move your organization forward to exploit the power of analytics? In this paper, explore recommendations and best practices from experts at UnitedHealth Group, Eli Lilly and Company, and Mercy Virtual who are operationalizing SAS analytics across their enterprises and realizing impressive results.
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     SAS
By: Schneider Electric     Published Date: Jun 04, 2014
Business executives are challenging their IT staffs to convert data centers from cost centers into producers of business value. Data centers can make a significant impact to the bottom line by enabling the business to respond more quickly to market demands. This paper demonstrates, through a series of examples, how data center infrastructure management software tools can simplify operational processes, cut costs, and speed up information delivery.
Tags : schneider, electric, data, infrastructure, convert data, business value
     Schneider Electric
By: Schneider Electric     Published Date: Nov 21, 2017
Profitable reliability is the next evolution of maintenance technology solutions. The result will be greater levels of operational profitability, safety, and reliability. Understand the three steps to get you there.
Tags : smart control, empowered operators, optimized assets, future of automation, reliability, safety, cybersecurity, operational profitability
     Schneider Electric
By: Schneider Electric     Published Date: Nov 21, 2017
Balancing the increased pressure to improve productivity and quality, while reducing cost against mandated safety regulations is one of the most complex challenges in industry today.
Tags : smart control, empowered operators, optimized assets, future of automation, reliability, safety, cybersecurity, operational profitability
     Schneider Electric
By: Schneider Electric     Published Date: Nov 21, 2017
Empower your workforce to control operational efficiency, reliability, safety, and profitability together — in real time. Ignite your profit engine today through EcoStruxure™ Foxboro DCS.
Tags : smart control, empowered operators, optimized assets, future of automation, reliability, safety, cybersecurity, operational profitability
     Schneider Electric
By: Schneider Electric     Published Date: Nov 21, 2017
When effectively applied in a cement plant, automation and control technologies can significantly reduce energy expenses, while helping to increase production and reduce waste.
Tags : smart control, empowered operators, optimized assets, future of automation, reliability, safety, cybersecurity, operational profitability
     Schneider Electric
By: Schneider Electric     Published Date: Nov 21, 2017
Measure, empower and improve your continuous improvement process in your gas plant and maximize operational profitability.
Tags : smart control, empowered operators, optimized assets, future of automation, reliability, safety, cybersecurity, operational profitability
     Schneider Electric
By: Schneider Electric     Published Date: Apr 20, 2018
Digital Realty needed a globally consistent infrastructure to support their current customer base while allowing for seamless expansion into new markets, all while staying at the top of the fast moving colocation market. Increasing customer requests for visibility needed to be met simply and consistently.
Tags : colocation, expansion, operational visibility, efficiency, data center
     Schneider Electric
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