deeper data

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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: IBM     Published Date: Oct 03, 2017
The demand for new data about customers, customer behaviour, product usage, asset performance, and operational processes is growing rapidly. Almost every industry wants new data. Some examples of this are: • Financial services organisations want more data to improve risk decisions, for ‘Know Your Customer (KYC) compliance and for a 360 degree view of financial crime. • Utilities companies want smart meter data to give them deeper understanding of customer and grid usage and to allow them to exploit pricing elasticity. They also want sensor data to monitor grid health, to optimise field service and manage assets. Download now to learn more!
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scaling data, big data, customer behavior, product usage, data integration
    
IBM
Published By: SAS     Published Date: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
Analytics is now an expected part of the bottom line. The irony is that as more companies become adept at analytics, it becomes less of a competitive advantage. Enter machine learning. Recent advances have led to increased interest in adopting this technology as part of a larger, more comprehensive analytics strategy. But incorporating modern machine learning techniques into production data infrastructures is not easy.Businesses are now being forced to look deeper into their data to increase efficiency and competitiveness. Read this report to learn more about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated both organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
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SAS
Published By: Sirius Computer Solutions, Inc.     Published Date: Jul 17, 2014
To capitalize on sales opportunities through deeper insights into customer demand, CCBCC needed to crunch more data without increasing time-to-insight, while meeting existing service-level agreements.
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sirius computer solutions, ibm, application performance, storage capacity, cost of ownership, flash technology, storage
    
Sirius Computer Solutions, Inc.
Published By: Quocirca     Published Date: Dec 02, 2008
The need to share information has never been greater as cross-organizational business processes become deeper and more complex. The movement of digital information, both within a business and across its increasingly porous boundaries to external individuals and organizations, carries more and more risk as regulations are tightened around data protection and personal privacy.
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quocirca, content security, aep networks, clearswift, symantec, trend micro, websense, smtp
    
Quocirca
Published By: SAS     Published Date: Apr 16, 2015
The synergy of creative work and powerful analytics is the route to impactful, innovative campaigns for iris Worldwide, the global creative innovation network. iris has made this strategy a reality using the advanced analytics capabilities offered by SAS, which has given the agency the ability to garner deeper insights using larger data sets, ultimately resulting in higher returns for its customers.
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SAS
Published By: VMware AirWatch     Published Date: Jul 20, 2017
Take a deeper look into how AirWatch enables Windows management to evolve from a rigid PC-centric approach to one offering a flexible and over-the-air configuration model. This session will delve into the specific configuration, security and OS patch management technologies that AirWatch introduces, as well as leveraging AirWatch alongside conventional Windows management tools that are in use today. • Leverage product provisioning and native configuration management features for policy management from the cloud • Integrate with the new Windows Update as a Service to flexibly manage OS updates and patches on or off the domain • Ensure endpoint security and data protection via advanced security features in the management platform and Windows 10
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VMware AirWatch
Published By: Forcepoint     Published Date: Oct 03, 2019
In part two of the Unified Data Protection for a Hybrid IT World webinar series, we take a deeper dive into use cases around the challenges that businesses are facing today and how Forcepoint’s solutions meet your data protection needs. Understanding the location of all data, whether at-rest, in-use, or in motion across on-premises and the cloud is essential to keep data safe and secure. This enables companies to identify their riskiest users and behaviors. With Forcepoint, you can automate the identification, classification, and protection of critical data. This webinar explores how companies should rethink data security. Protecting critical data and intellectual property requires a risk-adaptive, dynamic approach, including these three main components. Analytics-Driven Visibility – to gain oversight everywhere users work and collaborate Risk-Adaptive Controls – to eliminate the complexity of policy enforcement Intelligent & Dynamic Automation – to build a better understanding of c
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Forcepoint
Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
IBM® InfoSphere® Big Match for Hadoop helps you analyze massive volumes of structured and unstructured customer data to gain deeper customer insights. It can enable fast, efficient linking of data from multiple sources to provide complete and accurate customer information—without the risks of moving data from source to source. The solution supports platforms running Apache Hadoop such as IBM Open Platform, IBM BigInsights, Hortonworks and Cloudera.
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hadoop, infosphere, data, customer insights
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: SAP Concur     Published Date: Aug 07, 2019
"Analyst Report: New growth strategies from cost-conscious businesses Use these insights to navigate business expansion and growth New research from Oxford Economics shows why “cost-conscious” SMBs are growing more successfully than their peers…(hint: more efficient cash flow management). Dig deeper into the data, and you’ll discover why some peers excel at business growth by using processes and tools that allow them to: • Why spending control is linked to smart business expansion • How spend management can improve agility and responsiveness • Which processes to automate for continued growth"
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SAP Concur
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