analytic applications

Results 101 - 125 of 150Sort Results By: Published Date | Title | Company Name
Published By: SAS     Published Date: Jun 06, 2018
Competitive advantage from analytics is changing, and for the better. For the first time in four years, MIT Sloan Management Review found an increasing ability to strategically innovate with analytics based on interviews with more than 2,600 practitioners and scholars globally. Learn more about key findings, including: Wider use of analytics, better knowledge of its benefits and greater focus on applications have reversed a trend on the benefits of analytics. Return on investment for analytics stems from the governing and sharing of data throughout the organization. Machine learning enables organizations to discover more insight from their data, allowing employees to focus on other critical responsibilities.
Tags : 
    
SAS
Published By: Neolane, Inc.     Published Date: Dec 30, 2008
EMI Music is one of the top global recorded music companies and represents artists spanning all musical tastes and genres including Lily Allen, Coldplay, and Pink Floyd. No longer able to rely on mass marketing to drive in-store sales, EMI Music had to figure out who, exactly, was downloading its artists' music, and how to maximize communications with those consumers to strengthen relationships and drive more revenue.  EMI Music opted for enterprise marketing software from Neolane that would help the company better capture consumer information from multiple sources and integrate its disparate CRM and customer analytics applications.
Tags : 
neolane, emi music, enterprise marketing software, customer analytics applications, crm, customer relationship management, cross-channel customer relationships, enterprise marketing platform
    
Neolane, Inc.
Published By: IBM     Published Date: Apr 22, 2014
Consumers are leveraging innovative and richly functional mobile devices to become connected and empowered like never before, reshaping the consumer/marketer relationship and raising the stakes for marketers to utilize the mobile channel to engage shoppers and drive revenue.
Tags : 
ibm, mobile marketing, mobile, enterprise marketing management, management, consumers, customers, innovative marketing
    
IBM
Published By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
Tags : 
ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth
    
IBM
Published By: IBM     Published Date: Feb 04, 2016
Sargam Singh, senior product manager of cloud integration at IBM, discusses the digital transformation in cloud integration.
Tags : 
cloud, ibm, integration, digital, analytics, data, applications
    
IBM
Published By: IBM     Published Date: Apr 01, 2016
Keep your workforce and systems current for faster DevOps, deployment, and management of cloud, analytics and mobile applications. Learn about updated, intuitive mainframe tools that are easy-to-to use for both millennials and baby-boomers.
Tags : 
ibm, agile, agile development, cloud, mobile, z systems
    
IBM
Published By: IBM     Published Date: Jul 18, 2016
In this report, you will be able to answer the following: - Whatís the value of a managed service & why should developers care about it? - Why is a managed service preferred over DIY management? - How does a managed service give you back hours in your day?
Tags : 
ibm, analytics, dbaas, database as a service, developers, applications
    
IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation ó leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
Tags : 
    
Group M_IBM Q418
Published By: Group M_IBM Q418     Published Date: Oct 02, 2018
Organizations are faced with providing secure authentication, authorization, and Single Sign On (SSO) access to thousands of users accessing hundreds of disparate applications. Ensuring that each user has only the necessary and authorized permissions, managing the userís identity throughout its life cycle, and maintaining regulatory compliance and auditing further adds to the complexity. These daunting challenges are solved by Identity and Access Management (IAM) software. Traditional IAM supports on-premises applications, but its ability to support Software-as-a-Service (SaaS)-based applications, mobile computing, and new technologies such as Big Data, analytics, and the Internet of Things (IoT) is limited. Supporting on-premises IAM is expensive, complex, and time-consuming, and frequently incurs security gaps. Identity as a Service (IDaaS) is an SaaS-based IAM solution deployed from the cloud. By providing seamless SSO integration to legacy on-premises applications and modern cloud-
Tags : 
    
Group M_IBM Q418
Published By: Cisco     Published Date: Jul 11, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
Tags : 
    
Cisco
Published By: SAS     Published Date: Aug 28, 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. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The reportís survey quantifies user trends and readiness f
Tags : 
    
SAS
Published By: SAS     Published Date: Nov 16, 2018
More account openings are taking place through digital devices and online, giving the access and anonymity fraudsters need to steal or fabricate identities. Since credit fraud often starts with a falsified application, it makes sense to have strong tools to monitor loans and credit lines from that point onward. This paper discusses analytics-driven methods for validating applications and spotting trouble at all three stages of bust-out fraud schemes.
Tags : 
    
SAS
Published 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
Published By: IBM     Published Date: Jan 02, 2014
"The Cincinnati Zoo & Botanical Garden is one of the nationís most popular attractions, a Top 10 Zagat-rated Zoo, and a Top Zoo for Children according to Parentís Magazine. Each year, more than 1.3 million people visit its 71-acre site, which is home to more than 500 animal and 3,000 plant species. Although the Zoo is a non-profit organization and is partially subsidized by Hamilton County, more than two thirds of its $26 million annual budgetis generated through its own fundraising efforts."
Tags : 
ibm, case study, botanical garden, increase revenues, customer experience, boost sales, effective marketing, effective promotions
    
IBM
Published By: IBM     Published Date: Feb 04, 2014
With higher mobile use comes more opportunities to reach consumers in different ways. How are you reaching your customers and making them consistent consumers?
Tags : 
ibm, mobile marketing, mobile, enterprise marketing management, management, consumers, customers, innovative marketing
    
IBM
Published By: Cisco     Published Date: Dec 21, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
Tags : 
    
Cisco
Published By: Microsoft Office 365     Published Date: Apr 05, 2016
Take a guided tour of the new Office 365. Itís a quick and easy way to test drive new enterprise capabilities, including advanced collaboration, analytics, and security features. Step through common enterprise scenarios to see how Office 365 can support your business needs See the latest in-product experience with the most up-to-date versions of the Office applications you use every day as well as the new advanced features Explore the top features and advanced capabilities available for email and calendar management, collaborative meetings, analytics, and security
Tags : 
    
Microsoft Office 365
Published By: Microsoft Office 365     Published Date: Apr 14, 2016
Take a guided tour of the new Office 365. Itís a quick and easy way to test drive new enterprise capabilities, including advanced collaboration, analytics, and security features. Step through common enterprise scenarios to see how Office 365 can support your business needs See the latest in-product experience with the most up-to-date versions of the Office applications you use every day as well as the new advanced features Explore the top features and advanced capabilities available for email and calendar management, collaborative meetings, analytics, and security
Tags : 
    
Microsoft Office 365
Published By: IBM     Published Date: Jul 22, 2014
Listen to an interactive discussion (socialcast) with a select group of IBM Data Scientists that goes beyond the tools and tackles new ways your business can use data.
Tags : 
ibm, it operations analytics, it operations, analytical applications, data, big data, it app infrastructure, cloud
    
IBM
Published By: IBM     Published Date: Jan 09, 2015
Organizations are largely relying on TCO and ROI models in determining whether or not to invest in a unified communications (UC) solution. But what other factors are they considering? Youíll better understand the value that firms are deriving from UC, the status of its adoption, and the barriers to full implementation.
Tags : 
ibm, mobile, network, capabilities, solutions, strategy, cisco, challenges
    
IBM
Published By: SPSS     Published Date: Jun 30, 2009
This White Paper provides strategies and tactics for enabling a more innovative, predictive enterprise that maximizes the value of every customer interaction to "get, keep and grow" customers.
Tags : 
spss, predictive enterprise, retail management, customer interactions, crm, customer relationship management, customer innovation, business analytics
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This White Paper provides strategies and tactics for enabling a more innovative, predictive enterprise that maximizes the value of every customer interaction to "get, keep and grow" customers.
Tags : 
spss, predictive enterprise, retail management, customer interactions, crm, customer relationship management, customer innovation, business analytics
    
SPSS, Inc.
Published By: Attivio     Published Date: Apr 07, 2010
In this paper, well known data management authority Mark Albala proposes replacing the reliance on data models as the fixed navigation scheme used for storing, reporting and analyzing information with a new unified information access capability that enables more agile, insightful and pro-active decisions.
Tags : 
attivio, post-discovery intelligent application, analytic information delivery, business intelligence, enterprise applications, executive information systems, eis
    
Attivio
Published By: SAS     Published Date: May 17, 2016
This report provides a guide to some of the opportunities that are available for using machine learning in business, and how to overcome some of the key challenges of incorporating machine learning into an analytics strategy. We will discuss the momentum of machine learning in the current analytics landscape, the growing number of modern applications for machine learning, as well as the organizational and technological challenges businesses face when adopting machine learning. We will also look at how two specific organizations are exploiting the opportunities and overcoming the challenges of machine learning as theyíve embarked on their own analytic evolution.
Tags : 
oreilly, evolution of analytics, sas, machine learning, analytics landscape
    
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.
Tags : 
    
SAS
Start   Previous    1 2 3 4 5 6    Next    End
Search Resource Library