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data optimization

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Published By: IBM     Published Date: Jul 26, 2017
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. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
This white paper highlights IBM’s vision for the next-generation data center, its potential to be truly revolutionary and the prescribed pathway for getting there.
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data center, mobility, software defined environment, service optimization, business solutions, data center security, compliance, automating protective measures
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Learn from this TDWI paper how right-sized information governance can improve the success of data warehousing or big data analytics initiatives, and how a chief data officer can help organizations to appreciate the value of data and its importance to their decisions and operations.
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system integration, data governance, data optimization, data efficiency, data currency, data lineage, data security, data integration
    
IBM
Published By: IBM     Published Date: May 02, 2017
The growth of virtualization has fundamentally changed the data center and raised numerous questions about data security and privacy. In fact, security concerns are the largest barrier to cloud adoption. Read this e-Book and learn how to protect sensitive data and demonstrate compliance. Virtualization is the creation of a logical rather than an actual physical version of something. such as a storage device, hardware platform, operating system, database or network resource. The usual goal of virtualization is to centralize administrative tasks while improving resilience, scalability and performance and lowering costs. Virtualization is part of an overall trend in enterprise IT towards autonomic computing, a scenario in which the IT environment will be able to manage itself based on an activity or set of activities. This means organizations use or pay for computing resources only as they need them.
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data protection, data security, data optimization, organization optimization, cloud management, virtualization, data center, cloud environment
    
IBM
Published By: CDW     Published Date: Nov 12, 2012
In this article, you'll find new power-saving and measurement technologies, along with maturing best practices that can help IT managers implement comprehensive strategies to better rein in energy costs.
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data center, power and cooling, availability, data center optimization
    
CDW
Published By: NetApp     Published Date: Jan 08, 2016
This white paper examines how existing data protection strategies can prove to be unsuitable or are not optimized for new production capabilities.
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data protection, data protection strategy, optimization, production capabilities, cloud computing, netapp
    
NetApp
Published By: Google Analytics 360 Suite     Published Date: Jul 28, 2017
Most companies have a few people who are testers and optimizers by nature, interest, or experience. But what really moves the dial is when everyone in the company embraces a test-and-learn approach to improving the customer experience across all touchpoints. Why is the test-and-learn approach so effective? When you test everything, your team values data over opinions. Everyone keeps learning — even from failures. The results? More visitors, more sales, happier customers, and a healthier bottom line. To help you get there, this guide provides insights on: What constitutes a culture of growth and optimization Tips for building that culture in your own company Lessons from marketing leaders who embrace the test-and-learn approach
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Google Analytics 360 Suite
Published By: Commvault ABM Oct     Published Date: Nov 13, 2017
Don't let the risk or cost of ransomware storm your organization's castle. it will wreak havoc on your valuable data and impact business continuity. Instead, employ a multi-layer security strategy that not only includes anti-malware, firewall, and hard disk and file encryption, but also data loss prevention technology and standards- based data protection. Each are critical to mitigate cyber security risks and protect vital information so you can avoid business disruption without ever paying a king's ransom.
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ransomeware, organization, data, business optimization technology, it protection, commvault
    
Commvault ABM Oct
Published By: Location3     Published Date: Feb 07, 2019
Your Local Business Listings are part of the foundation of your online presence. Ensuring that all of your brick-and-mortar business locations are accurately represented on directories like Google My Business, Facebook Places, Bing Places, Apple Maps and more requires a hands-on, managed approach to local data optimization.
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marketing, local marketing, franchise, franchisor, digital marketing, multi-location businesses, local business listings, listing management
    
Location3
Published By: Amazon Web Services     Published Date: Oct 09, 2017
As easy as it is to get swept up by the hype surrounding big data, its just as easy for organisations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data's power to transform business, it's critical that organisations overcome these challenges and realise the value of big data. The cloud can help organisations to do so. Drawing from IDG's 2015 Big Data and Analytics Survey, this white paper analyses the top five challenges companies face when undergoing a big data initiative and explains how they can effectively overcome them.
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amazon, web services, intel, migration, data warehousing, organization optimization, security, software
    
Amazon Web Services
Published By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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IBM
Published By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
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data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
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data integration, data security, data optimization, data virtualization, database security, data migration, data assets, data delivery
    
IBM
Published By: IBM     Published Date: Jun 20, 2017
Watch this on-demand webinar for a look at in-memory databases and better understand the advantages of in-memory vs. disk-based technology.
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data integration, data security, data optimization, data virtualization, in-memory, disk-based, technology
    
IBM
Published By: IBM APAC     Published Date: Aug 25, 2017
The world of business analytics is evolving rapidly, and while there are multiple emerging trends of note, two stand out as particularly impactful. First, there is an expanding and increasingly diverse audience of users that are becoming more analytically active. From mid-level Line-of-Business staff to senior executives on mahogany row, more users in more job functions are taking an increased level of ownership in the insight that fuels their decisions and the underlying data that supports that insight.
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data integration, data security, data optimization, data virtualization, database security
    
IBM APAC
Published By: IBM     Published Date: Jul 13, 2012
This white paper provides an overview of how IT organizations can optimize across the entire life cycle of their data centers and build a strong foundation for future IT operations.
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ibm, technology, datacenter, organization, white paper, optimization, cio
    
IBM
Published By: HP     Published Date: Feb 02, 2015
Ever-increasing data volumes driven by the constant growth in both structured and unstructured data coupled with the ever decreasing costs of storage capacity on a per GB basis are continuing to put a strain on corporate backup abilities. While other backup and data optimization technologies offer some relief, deduplicating backup appliances have become the go to solution. They provide a quick, largely non-disruptive plug-and-play solution that alleviates backup pain, reduces storage consumption by up to 20x and have become a proven frontrunner in the ongoing battle to improve the backup experience.
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HP
Published By: HP     Published Date: Feb 11, 2015
Ever-increasing data volumes driven by the constant growth in both structured and unstructured data coupled with the ever decreasing costs of storage capacity on a per GB basis are continuing to put a strain on corporate backup abilities. While other backup and data optimization technologies offer some relief, deduplicating backup appliances have become the go to solution. They provide a quick, largely non-disruptive plug-and-play solution that alleviates backup pain, reduces storage consumption by up to 20x and have become a proven frontrunner in the ongoing battle to improve the backup experience.
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HP
Published By: FICO     Published Date: Sep 02, 2016
Leading businesses have aggressively adopted prescriptive analytics to assess the different outcomes of potential decisions and identify the best one(s) for handling a future scenario. As companies progress their use of advanced analytics, they derive exponentially more value from their data and decisions. These five case studies highlight how five banks are using FICO optimization to boost portfolio profits by 26% or more; increase approved transactions by $100+ million; and even generate 6:1 ROI in just six months.
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prescriptive analytics, fico, advanced analytics, fico optimization, portfolio profits, roi
    
FICO
Published By: FICO     Published Date: Nov 30, 2016
Unexpected failure or performance erosion of production equipment can significantly impact productivity, product quality and maintenance expenses within any manufacturing organization. It’s also difficult to get operations ‘back on track’ after these failures occur. The good news is that, via the Internet of Things, intelligent use of sensor data, machine learning and optimization can help companies take a proactive approach to predicting failures and re-optimizing processes around them.
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iot, internet of things, manufacturing
    
FICO
Published By: FICO     Published Date: Nov 30, 2016
FICO® Optimization Solutions for Manufacturers is an integrated and flexible modeling, solving and rapid application development platform for building solutions across the entire lifecycle of manufacturing and supply chain business challenges. It helps businesses readily account for massive amounts of data as well the myriad constraints and conflicting objectives within your business. This easy-to-modify solution incorporates strong and proven optimization engines, flexible workflow and usability at every level to drive consistent, transparent and profitable decisions, which ultimately drive the best action(s) for your business.
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FICO
Published By: IBM     Published Date: May 23, 2017
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
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cloud strategy, database projects, disaster recover, geographic reach, large database, ibm, analytics, management optimization
    
IBM
Published By: IBM     Published Date: Oct 17, 2017
The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.
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IBM
Published By: Group M_IBM Q418     Published Date: Oct 15, 2018
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data. Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
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Group M_IBM Q418
Published By: Group M_IBM Q2'19     Published Date: Apr 08, 2019
Empowering the Automotive Industry through Intelligent Orchestration With the increasing complexity and volume of cyberattacks, organizations must have the capacity to adapt quickly and confidently under changing conditions. Accelerating incident response times to safeguard the organization's infrastructure and data is paramount. Achieving this requires a thoughtful plan- one that addresses the security ecosystem, incorporates security orchestration and automation, and provides adaptive workflows to empower the security analysts. In the white paper "Six Steps for Building a Robust Incident Response Function" IBM Resilient provides a framework for security teams to build a strong incident response program and deliver organization-wide coordination and optimizations to accomplish these goals.
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Group M_IBM Q2'19
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