advanced analytics

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Published By: SAS     Published Date: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
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SAS
Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
These emerging technologies and solutions certainly are not unique to financial services. But Stewart, a business director of security intelligence solutions within the SAS Security Intelligence Practice, sees particular interest and application in AML circles. "There remain a good number of manual processes within financial crimes departments in financial institutions, and AI can help automate some of those rote tasks such as document review or alert triage," he says. "Due to investments in technology, there is a lower barrier of entry for midsized institutions. "And finally, there's this anxiety over the unknown - those risks they are not able to detect, that may be hidden using traditional techniques - so they're hoping that more advanced, unsupervised learning techniques can be used to identify those edge cases or behaviors that are out of norm." In an interview about analytics and the AML paradigm shift, Stewart discusses: • The new industry intrigue with artificial intelligence a
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a Government Fraud Solutions Architect within the SAS Security Intelligence practice.
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SAS
Published By: SAS     Published Date: Apr 04, 2018
“Fixing health care” is an urgent and pervasive priority for governments, businesses and citizens alike. Within many countries, costs are out of control, resulting in reduced access to quality care for those who need it, higher taxes and/or insurance costs for companies and citizens – and unfortunately, poorer health outcomes.
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SAS
Published By: SAS     Published Date: Jun 06, 2018
Today’s consumers expect immediate, personalized interactions. To meet these expectations, companies must differentiate their brands through timely, targeted and tailored customer experiences based on real-time data analytics. This report, sponsored by SAS, Intel and Accenture and conducted by Harvard Business Review Analytic Services, looks at how businesses are using advanced customer data analytics, along with real-time analytics and real-time marketing, to enhance their customers’ experiences. Learn why organizations that place a high value on real-time capabilities still struggle to achieve them, what companies can do to ensure success as they adopt and implement real-time analytics solutions, and what benefits successful companies are already seeing.
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SAS
Published By: IBM     Published Date: Jul 27, 2015
Read this issue to learn how to tap into the massive amounts of data and information across your organization.
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cloud-based data management, sustainability energy, future of energy, data analytics, utility analytics, grid optimization, advanced analytics integration, cloud-based services
    
IBM
Published By: IBM     Published Date: Nov 20, 2015
Discover how proficient your organization is at using advanced analytics to transform the way you do business. Take the assessment.
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ibm, energy, utilities, analytics, business technology
    
IBM
Published By: IBM     Published Date: Apr 23, 2013
Profitability analysis is important to all companies. But in times of economic uncertainty, it becomes even more critical because organizations need a comprehensive and forwardlooking view of profitability to ensure that they can remain financially viable, whatever the economic circumstances. For companies to be successful, they need automated systems that enable interactive profitability analysis that can be shared across a broad swath of users. They also need robust, advanced analytics, to provide detailed granular metrics for assessing profitability and measuring performance. IBM offers solutions that can meet those needs.
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profitability, analysis, finance, projection, prediction, analytics, automation, metrics
    
IBM
Published By: IBM     Published Date: Sep 11, 2013
Learn how mining data from social media can be a significant way for your bank to gain insights into customer mindsets and behavior by using advanced analytics tools from IBM
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social business, banking, mining data, social media, analytics, customer
    
IBM
Published By: IBM     Published Date: Feb 04, 2015
Learn why advanced analytics tools are essential to sustain a competitive advantage.
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advanced analytics, predictive analytics, advanced analytics tools, strategic business objectives, marketing strategies
    
IBM
Published By: IBM     Published Date: Feb 05, 2015
The Hurwitz Victory Index scores vendor performance across four dimensions -- Vision, Viability, Validity, and Value. IBM excelled in all four categories.
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advanced analytics, vendor performance, market trends, analytics platforms
    
IBM
Published By: IBM     Published Date: Jul 27, 2015
Communications service providers have much to gain from deploying big data analytics capabilities that enable smarter campaigns.
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ibm advanced analytics platform, big data analytics, communications service providers, analytics software, predictive analytics, analytics visualization, historical analysis
    
IBM
Published By: IBM     Published Date: Oct 13, 2015
This IDC iView will share results of a recent IDC study and provide insights you can use to better understand how advanced analytics strategies can help you enhance the experience for your audience, grow your viewers and advertisers, and increase revenues.
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ibm, audience analytics, idc iview, research, strategy, technology, networking, knowledge management, business technology
    
IBM
Published By: IBM     Published Date: Nov 11, 2015
Discover how proficient your Media & Entertainment organization is at using advanced analytics to deliver differentiated customer experiences.
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ibm, media, entertainment, assessment, analytics, maturity, business technology
    
IBM
Published By: IBM     Published Date: Nov 11, 2015
Discover how proficient your telecommunication organization is at using advanced analytics to increase revenue and keep customers happy.
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ibm, telecommunications, analytics, marketing, business technology, telecom
    
IBM
Published By: IBM     Published Date: Apr 14, 2016
Information associated with consumers can provide a lot of value - if insights from that data can be quickly and accurately attained. This IDC iView will share results of a recent IDC study and provide insights you can use to better understand how advanced analytics strategies can help you enhance the experience for your audience, grow your viewers and advertisers, and increase revenues.
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ibm, media, entertainment, audience analytics, idc, idc iview
    
IBM
Published By: IBM     Published Date: Apr 14, 2016
Advanced analytics can provide extremely valuable insight into today’s media viewers. This must-read report details the top 10 best practices for successfully implementing data analytics for driving profit, attracting new viewers, and increasing viewer loyalty.
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ibm, data analytics, analytics, media, entertainment
    
IBM
Published By: IBM     Published Date: Oct 22, 2014
Download this white paper from MWD Advisors and get an inside look at what you’ll need to (1) Empower your most valuable knowledge workers; (2) Provide exceptional customer experiences; and (3) Thrive in an increasingly competitive environment
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customer service, case management, advanced analytics, it management, knowledge management
    
IBM
Published By: IBM     Published Date: Dec 02, 2014
Across the automotive industry, organizations are using analytics to transform all aspects of their business. In the vast majority of instances, the analytics performed is on data that is already available within the organization or wider automotive ecosystem, but has not yet been tapped to use its full potential. Analytics can unlock the value held in this data, helping to answer key “what if” questions across the organization and the value chain. For example, what if dealerships could better understand their customers’ digital journey? Or what if manufacturing could improve visibility into parts, assembly and vehicle inventory?
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automotive analytics, automotive ecosystem, automotive manufacturing, advanced analytics, it management, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Dec 24, 2014
Organizations and intelligence agencies from a variety of industries and sectors face the same challenges when it comes to big data – the need to uncover actionable insights, with limited resources, with critical speed. But with the right intelligence solution, overwhelming data won’t be a challenge, rather, it becomes your resource to smarter, more effective decision making.
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ibm, big data, insight analysis, big data analysis, intelligence solutions, advanced analytics, business decision making, it management
    
IBM
Published By: IBM     Published Date: Dec 24, 2014
Watch the video above to learn about the new big data and advanced analytics solution from IBM.
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ibm, big data, insight analysis, big data analysis, intelligence solutions, advanced analytics, business decision making, it management
    
IBM
Published By: IBM     Published Date: Feb 05, 2015
Revealing new insights into agency performance, claims processing, customer profitability and exposure.
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agency performance, claims processing, customer probability, advanced analytics
    
IBM
Published By: IBM     Published Date: Feb 05, 2015
This new research — based on data collected in May 2013 from 29 organizations using visual data discovery and 95 that were not — reinforces those findings. In addition, Aberdeen's research demonstrates that visual data discovery can help to usher in a different approach to analytics, an approach that is far more user driven.
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advanced analytics, visual data discovery, managed reporting, data discovery tools
    
IBM
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