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By: IBM     Published Date: Oct 10, 2013
With 2.5 billion employee-owned mobile devices in the workplace today, enterprises are struggling to capture the business benefits while bracing their IT infrastructure against data breaches and a deluge of mobile traffic. A new study reveals that the most mobile-savvy organizations are employing specific best practices, including mobile planning, integration, optimization and management to achieve mobile infrastructure maturity.
Tags : mobiles, mobile technology, technology leaders, ibm, global it, it leaders, mobility, wireless
     IBM
By: IBM     Published Date: Nov 08, 2013
See how you can maximize productivity and operational performance with IBM Predictive Maintenance and Quality.
Tags : ibm, predictive maintenance and quality, improving productivity, solving production problems, virtually eliminate downtown, eliminate quality problems, anticipating maintenance, data integration
     IBM
By: IBM     Published Date: Dec 06, 2013
Partners and customers expect instantaneous response and continuous uptime from data systems, but the volume and velocity of data make it difficult to respond with agility. IBM PureData System for Transactions enable businesses to gear up and meet these challenges.
Tags : ibm, ibm puredata system, data, data mangement, database, integration, transactions, workload
     IBM
By: IBM     Published Date: Dec 18, 2013
Learn about 3 optimizations of IBM PureData System for Transactions that can help your organization meet today's big data challenges.
Tags : ibm, ibm puredata for transactions, data, big data, data center, data management, optimization, integration
     IBM
By: IBM     Published Date: Jan 02, 2014
This study highlights the phases of the big data journey, the objectives and challenges of midsize organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for midsize companies to take as they dive into this new era of computing.
Tags : ibm, analytics, global business service, big data, business value, it professionals, volume, velocity
     IBM
By: IBM     Published Date: Jan 09, 2014
According to Dr. Barry Devlin of 9sight Consulting, the truth behind all the talk about big data and the possibilities it can offer is not hard to see, provided that organizations are willing to return to the principles of good data management processes.
Tags : ibm, big data, 9sight consulting, data, it management, maximize business, deployment, business opportunities
     IBM
By: IBM     Published Date: Jan 09, 2014
How can your midsize business meet new demands for data storage with limited resources? In this eguide, you’ll find out that this innovative solution can radically improve storage performance—while minimizing expenses
Tags : ibm, storwize eguide, data storage, modern technology, virtual storage, gartner research, innovative data, storage maintenance
     IBM
By: IBM     Published Date: May 02, 2014
The end-to-end information integration capabilities of IBM® InfoSphere® Information Server are designed to help organizations understand, cleanse, monitor, transform and deliver data—as well as collaborate to bridge the gap between business and IT.
Tags : ibm, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility
     IBM
By: IBM     Published Date: May 02, 2014
This eBookoutlines the best practices for data lifecycle management and how InfoSphere Optimsolutions enable organizations to support and implement them.
Tags : ibm, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility
     IBM
By: IBM     Published Date: May 27, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media
Tags : ibm, big data, analytics, insurance, insurance industry, big data solutions, integration, risk assessment
     IBM
By: IBM     Published Date: May 27, 2014
If insurers want to succeed in today's digital world, they need to create experiences and business models that are orchestrated, symbiotic, contextual and cognitive.
Tags : ibm, big data, insurance, digital insurer, business model, insurance industry, technology, integration
     IBM
By: IBM     Published Date: May 28, 2014
Read the whitepaper to find out how one client improved business value of their data by implementing InfoSphere Optim processes and technologies.
Tags : ibm, data lifecycle management, infosphere optim, integrating big data, governing big data, integration, best practices, big data
     IBM
By: IBM     Published Date: May 28, 2014
The right test data management solution accelerates time to value for business-critical applications and builds relationships and efficiencies across the organization. IBM InfoSphere Optim Test Data Management closes the gap between DBAs and application developers by providing all teams with accurate, appropriately masked and protected data for their work. Developers can confirm that new application functionalities perform as expected. QA staff can validate that the application performs as intended based on the test cases, and that integrations work properly. And business leaders can be more confident that competitive functionality will be delivered on time with less risk.
Tags : ibm, ibm infosphere, ibm optim solutions, ibm test data, test data management, dba, database management, big data
     IBM
By: IBM     Published Date: May 28, 2014
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
Tags : ibm, data retention, information governance, archiving, historical data, integrating big data, governing big data, integration
     IBM
By: IBM     Published Date: Aug 05, 2014
The MDM of customer data solutions market segment grew healthily in 2012. New acquisitions and integrations of prior acquisitions by the Leaders have continued, and several visions for linking MDM and social data have emerged. This Magic Quadrant will help you find the right vendor for your needs.
Tags : ibm, magic quadrant, master data, data, management, solutions, mdm, vendor
     IBM
By: IBM     Published Date: Aug 05, 2014
There is a lot of discussion in the press about Big Data. Big Data is traditionally defined in terms of the three V’s of Volume, Velocity, and Variety. In other words, Big Data is often characterized as high-volume, streaming, and including semi-structured and unstructured formats. Healthcare organizations have produced enormous volumes of unstructured data, such as the notes by physicians and nurses in electronic medical records (EMRs). In addition, healthcare organizations produce streaming data, such as from patient monitoring devices. Now, thanks to emerging technologies such as Hadoop and streams, healthcare organizations are in a position to harness this Big Data to reduce costs and improve patient outcomes. However, this Big Data has profound implications from an Information Governance perspective. In this white paper, we discuss Big Data Governance from the standpoint of three case studies.
Tags : ibm, data, big data, information, healthcare, governance, technology
     IBM
By: IBM     Published Date: Oct 01, 2014
Gaining a more complete, trusted view of customers is a strategic goal of most organizations. The challenge is that information about customers is typically managed and stored in many different applications, management systems and data silos. And this challenge is often compounded by a lack of consistency from one application to the next. The combination of IBM InfoSphere Data Explorer and IBM InfoSphere Master Data Management addresses these challenges by creating a single, combined, trusted 360-degree view of all data related to customers, accounts, products and other entities. The combined solution enables organizations to gain a deeper understanding of customer sentiment, increase customer loyalty and satisfaction, and get the right information to the right people to provide customers what they need to solve problems, cross-sell and up-sell.
Tags : data integration, customer loyalty, customer service, big data
     IBM
By: IBM     Published Date: Oct 01, 2014
Salesforce.com is an industry leading cloud CRM solution which helps organizations streamline and effectively manage sales processes, customers and opportunities. The effectiveness of these initiatives can be improved dramatically by providing Salesforce with a 3600 view of the Customer to overcome the limitation of fragmented data that Salesforce currently relies on. This paper discusses how InfoSphere capabilities can be used to create comprehensive and accurate 3600 views of your customers from internal and external sources. This data is integrated seamlessly within Salesforce.com to help your sales teams get a complete view of the customer to help find the right contacts, allocate resources efficiently and identify new opportunities. This helps your sales teams be more efficient, effective and ultimately improve your win rate and drive more revenue.
Tags : salesforce, crm solution, data integration
     IBM
By: IBM     Published Date: Oct 01, 2014
This white paper discusses how IBM InfoSphere can support the integration and governance of Big Data in healthcare. The white paper reviews three case studies including predictive analytics with Electronic Medical Records, time series data in a neonatal intensive care unit and predictive pathways for disease.
Tags : big data, data integration, healthcare
     IBM
By: IBM     Published Date: Nov 06, 2014
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
Tags : big data, data integration, analytics, customer matching, ibm
     IBM
By: IBM     Published Date: Apr 07, 2015
Today, the growth in the volume, variety, and availability of health data allows greater focus on individual wellness, as well as a way to provide care in a smarter way. In this webcast you will learn how the IBM Integration solution for healthcare can provide rapid connectivity, simplify IT infrastructure and drive enhanced patient care.
Tags : ibm, integration, connectivity, it infrastructure, healthcare providers, clinical applications, business applications
     IBM
By: IBM     Published Date: Jun 16, 2015
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
Tags : cloud computing, mobility, big data, business analytics, it security landscape, enterprise networks, cloud integration, virtualization
     IBM
By: IBM     Published Date: Jul 01, 2015
This whitepaper talks about the steps to cloud expertise solutions
Tags : hybrid cloud solutions, customer experience, hybrid cloud, data analytics, data sharing, infrastructure as a service, iaas, data integration
     IBM
By: IBM     Published Date: Jul 08, 2015
To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize its value, and integrate it at a more granular level than ever before—focusing on the individual transaction level, rather than on general summary data. As data volumes continue to explode, clients must take advantage of a fully scalable information integration architecture that supports any type of data integration technique such as ETL, ELT (also known as ETL Pushdown), data replication or data virtualization. Read this new whitepaper to learn about the seven essential elements needed to achieve the highest performance.
Tags : 
     IBM
By: IBM     Published Date: Jul 08, 2015
Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
Tags : 
     IBM
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