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Published By: MobileIron     Published Date: Nov 07, 2018
In recent years, the market for mobile and cloud technologies has completely shifted the behavior of enterprise users. People can now work anywhere, on any device, to access business apps and data from mobile apps and cloud services. Static, perimeter-based security can no longer keep up with all of the endpoints, users, apps, and data that travel far beyond the corporate firewall. Relying on old security approaches like password-only access control is no longer enough to secure this vast mobile-cloud infrastructure — especially since stolen user credentials were the top cause of data breaches in 2017.
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MobileIron
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Today, businesses pour Big Data into data lakes to help them answer the big questions: Which product to take to market? How to reduce fraud? How to retain more customers? People need to get these answers faster than ever before to reduce “time to answer” from months to minutes. The data is coming in fast and the answers must come just as fast. The answer is self-service data preparation and analytics tools, but with that comes an expectation that the right data is going to be there. Only by using a data catalog can you find the right data quickly to get the expected insight and business value. Download this white paper to learn more!
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Waterline Data & Research Partners
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
For many years, traditional businesses have had a systematic set of processes and practices for deploying, operating and disposing of tangible assets and some forms of intangible asset. Through significant growth in our inquiry discussions with clients, and in observing increased attention from industry regulators, Gartner now sees the recognition that information is an asset becoming increasingly pervasive. At the same time, CDOs and other data and analytics leaders must take into account both internally generated datasets and exogenous sources, such as data from partners, open data and content from data brokers and analytics marketplaces, as they come to terms with the ever-increasing quantity and complexity of information assets. This task is clearly impossible if the organization lacks a clear view of what data is available, how to access it, its fitness for purpose in the contexts in which it is needed, and who is responsible for it.
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Waterline Data & Research Partners
Published By: IBM     Published Date: Mar 04, 2016
This analyst piece shows that to be able to take control and do effective planning, marketers need insights that can only be supplied by marketing analytics
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marketing analytics, data, ibm, best practices, effective planning
    
IBM
Published By: IBM     Published Date: Mar 04, 2016
An analytics-based marketing platform can help marketers tackle the opportunities and challenges of a data and consumer-driven marketplace.
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ibm, analytics, marketing platform, data
    
IBM
Published By: IBM     Published Date: Apr 26, 2016
Redefining Markets: Insights from the Global C-suite Study – The CMO perspective This report draws on input from the 5,247 C-suite executives (CxOs) who participated in our latest C-suite Study. We now have data from more than 28,000 interviews stretching back to 2003. Here, we focus on the perspectives of Chief Marketing Officers (CMOs).
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ibm, ibm institute for business values, c-suite study, cmo, media, entertainment, marketing research
    
IBM
Published By: IBM     Published Date: Oct 27, 2016
IBM Analytics for Apache Spark for Bluemix is an open-source cluster computing framework with in-memory processing to speed analytic applications up to 100 times faster compared to other technologies on the market today. Optimized for extremely fast and large scale data processing-you can easily perform big data analysis from one application.
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ibm, apache spark, bluemix, analytics
    
IBM
Published By: Oracle     Published Date: Oct 20, 2017
What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital is also a
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Oracle
Published By: Genesys     Published Date: Feb 27, 2018
With all the options in the rapidly changing marketplace for cloud-based contact centers, it’s a challenge to find the right solution for your business. Easily compare the leading contact center solution vendors in the Ovum Decision Matrix: Selecting a Multichannel Cloud Contact Center Solution, 2017-18, based on their ability to offer full voice call routing and multichannel customer service in the cloud. Learn why Genesys has been positioned as a leader who has solutions for businesses of all sizes and in all industries around the world. Read the Ovum Decision Matrix to: • Compare cloud contact center solutions based on the strength of their technology platforms • Contrast vendors on their ability to handle multichannel customer interactions and connect with customer and company data through analytics • Understand each vendor’s market impact and why Genesys was chosen as a leader
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ovum, multichannel cloud contact center, contact center, decision matrix
    
Genesys
Published By: IBM     Published Date: Mar 02, 2017
Marketers are expanding their use of advanced social media analytics and combining the insights from those tools with other enterprise data to learn more about their customers and their prospects.
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social media analytics, marketing, social media marketing, social media, ibm, branding
    
IBM
Published By: IBM     Published Date: Mar 20, 2017
"Finding the right monetization model doesn’t have to be difficult... if you have the right provider. Identifying the right provider now is critical for your monetization strategy, even if it changes over time. Download this exclusive brochure from IBM Cloud Video’s OTT Success Series to learn: -The importance of planning for multiple billing and payment options across multiple international markets and currencies -The critical behind-the-scenes role of asset markup for dynamic advertising insertion -How to understand (and fulfill) metadata demands that differ by distribution avenue"
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ott, ibm, cloud, dynamic advertising insertion, billing, payment, metadata demands, monetization
    
IBM
Published By: IBM     Published Date: Apr 10, 2017
"Finding the right monetization model doesn’t have to be difficult... if you have the right provider. Identifying the right provider now is critical for your monetization strategy, even if it changes over time. Download this exclusive brochure from IBM Cloud Video’s OTT Success Series to learn: -The importance of planning for multiple billing and payment options across multiple international markets and currencies -The critical behind-the-scenes role of asset markup for dynamic advertising insertion -How to understand (and fulfill) metadata demands that differ by distribution avenue"
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ibm cloud video, monetization model, billing, payment, metadata demands, distribution avenues, advertising
    
IBM
Published By: IBM     Published Date: May 09, 2017
Shifting business requirements for digital content and new technologies are changing the ECM market. This Magic Quadrant analyzes these dynamics, their impact on ECM vendors and their implications for application leaders in charge of content management.
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technology efficiency, market dynamics, data privacy, data security, device management, platform management, enterprise management
    
IBM
Published By: IBM     Published Date: May 22, 2017
An investment firm is only as good as its data and its ability to leverage that data to make smart trades. A firm’s ability to differentiate itself in meeting market needs and bringing new products to market all hinge on its ability to squeeze maximum value out of all available data. But when it comes to implementing the right technology and processes to support a data-reliant business, those three factors present tremendous challenge
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
IBM
Published By: IBM     Published Date: May 23, 2017
This paper is on impact of the new features now available with version 11.1. It covers the use of DB2 within hybrid cloud environments.
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encryption, application development, operating system, market intelligence, data governance, data migration, data quality, ibm
    
IBM
Published By: IBM     Published Date: Aug 30, 2017
DevOps (short for development and operations), like most new approaches, is only a buzzword for many people. Everyone talks about it, but not everyone knows what it is. In broad terms, DevOps is an approach based on lean and agile principles in which business owners and the development, operations, and quality assurance departments collaborate to deliver software in a continuous manner that enables the business to more quickly seize market opportunities and reduce the time to include customer feedback. Indeed, enterprise applications are so diverse and composed of multiple technologies, databases, end-user devices, and so on, that only a DevOps approach will be successful when dealing with these complexities. Opinions differ on how to use it, however. Some people say that DevOps is for practitioners only; others say that it revolves around the cloud. IBM takes a broad and holistic view and sees DevOps as a business-driven software delivery approach  — an approach that takes a new or en
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devops, ibm, quality assurance, end-user devices, customer engagement
    
IBM
Published By: IBM     Published Date: Oct 17, 2017
Banks today are continuously challenged to meet rigorous regulatory requirements. They must implement strict governance programs that enable them to comply with a wide variety of regulations stemming from the financial crisis that began in 2007, including the DoddFrank Act, Basel Committee on Banking Supervision regulations, the General Data Protection Regulation (GDPR), the Revised Payment Services Directive (PSD2) and the revised Markets in Financial Instruments Directive (MiFID2). Many of these new regulations are spurring banks to rethink how data from across the enterprise flows into the aggregated risk and capital reports required by regulatory agencies. Data must be complete, correct and consistent to maintain confidence in risk reports, capital reports and analytical analyses. At the same time, banks need ways to monetize, grant access to and generate insight from data
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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: Datastax     Published Date: Aug 23, 2017
Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Chances are you are getting bogged down by various data models that require support — key-value, tabular, JSON/document and graph. This not only raises your operational expenses, but also slows down your time to market and ultimately revenue growth. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models.
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cloud, data model, multi-model
    
Datastax
Published By: Datastax     Published Date: Aug 23, 2017
A holistic approach to using customer data to enable data-driven decisions for attracting, retaining, and delivering value through customer experience is what is going to drive many business initiatives over the next 12-month period. Though they each have varying degrees of capability to transform their customer experience applications and remain continuously available no matter what is critical to their success. Companies surveyed are eager to deliver a great customer experience and capture market share, but many CX journeys are hindered by business unit siloes, insufficient budget, and technical challenges. The responses provide key insights into the business priorities, challenges, and data technology needs of companies embarking on or in the midst of their CX journey.
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datastax, customer data
    
Datastax
Published By: Datastax     Published Date: Jan 17, 2018
In today’s fast-paced business climate, companies are seeing dramatic shifts in their market. Customer expectations are changing faster than ever due to digital disruption in areas like commerce, banking, transportation, healthcare, utilities, and media consumption. Technology is being used to disrupt traditionally “safe” industry norms. Data is being generated at levels never seen before, but companies are having a tough time understanding how to find the gold within the gravel.
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Datastax
Published By: Datastax     Published Date: May 14, 2018
"What’s In The Report? The Forrester Graph Database Vendor Landscape discusses the expanding graph uses cases, new and emerging graph solutions, the two approaches to graph, how graph databases are able to provide penetrating insights using deep data relationships, and the top 10 graph vendors in the market today Download The Report If You: -Want to know how graph databases work to provide quick, deep, actionable insights that help with everything from fraud to personalization to go-to-market acceleration, without having to write code or spend operating budget on data scientists. -Learn the new graph uses cases, including 360-degree views, fraud detection, recommendation engines, and social networking. -Learn about the top 10 graph databases and why DSE Graph continues to gain momentum with customers who like its ability to scale out in multi-data-center, multi-cloud, and hybrid environments, as well as visual operations, search, and advanced security."
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Datastax
Published By: Google Analytics 360 Suite     Published Date: Jan 05, 2018
xxx
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Google Analytics 360 Suite
Published By: Reputation.com     Published Date: Oct 02, 2017
1.Meet the new consumer The migration to mobile and social media will challenge — and change — everything we know about consumer marketing. 2. Who owns your brand? Brand equity can no longer be bought. Online reviews now generate total market transparency for location-based businesses. Reviews tilt the balance of branding power away from companies and into the hands of customers. 3. The battle for brick-and-mortar customers is won or lost on the social web. To win, marketers must actively enlist customers as online advocates. Those who scale online review volume and quality will be rewarded with higher search visibility and more business at street level. 4. “Dark data” provides priceless operational insights Vast amounts of unstructured, unmined sentiment data on social media provides feedback about the customer experience that you can filter using thematic analysis and use to improve operations at the national or location level. 5. Business implications Online reputation stands betwee
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Reputation.com
Published By: OneLogin     Published Date: Oct 24, 2017
From the information provided in the interviews, Forrester has constructed a Total Economic Impact (TEI) framework for those organizations considering investing in OneLogin. The objective of the framework is to identify the benefits, costs, flexibility, and risk factors that affect the investment decision. Forrester employed four fundamental elements of TEI in modeling OneLogin: benefits, costs, flexibility options, and risks. Forrester took a multistep approach to evaluate the impact that OneLogin can have on the Organization (see Figure 2). Specifically, we: › Interviewed OneLogin marketing, sales, and product management personnel, along with Forrester analysts, to better understand the value proposition for OneLogin. › Conducted an in-depth interview with the Organization’s senior application engineer and its supervisor of IT security to obtain data with respect to costs, benefits, and risks. › Constructed a financial model representative of the interviews using the TEI metho
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OneLogin
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