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Published By: IBM     Published Date: Jul 27, 2016
IBM i2 Enterprise Insight Analysis helps analysts and investigators turn large data sets into comprehensive intelligence, in near real-time. With the help of advanced analytics and visual analysis capabilities, analysts can uncover hidden connections, patterns and trends buried in disparate data. Equip analysts and those on the front line with the tools they need to generate actionable intelligence, with mission critical speed.
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ibm, cyber threat analysis, ibm i2 enterprise insight analysis, cyber security, business intelligence
    
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: IBM     Published Date: Aug 23, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage.
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ibm, data replication, inventory management, competitive advantage
    
IBM
Published By: Datastax     Published Date: May 15, 2017
The customer is no longer king – she’s ruler, dictator, and autocrat. What’s clear is that the old paradigm of “customer service” is out and the new paradigm of customer experience is in. But companies are being too slow to capitalize on technology to improve customer experience. Read this new commissioned thought leadership paper conducted by Forrester Consulting on behalf of DataStax to learn why real-time data should be driving your customer experience decisions, why customer obsession is an imperative for success, why most companies are still missing the mark with CX, and six key recommendations to get your CX engine running.
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datastax, customer experience, digital, buying initiatives
    
Datastax
Published By: Datastax     Published Date: Aug 23, 2017
Enterprises today continue to differentiate themselves with cloud applications – any application that needs to be always-on, distributed, scalable, real-time, and contextual. With DataStax Enterprise, DataStax delivers comprehensive data management with a unique always-on architecture that accelerates the ability of enterprises, government agencies, and systems integrators to power the exploding number of cloud applications. DataStax Enterprise (DSE) powers these cloud applications that require data distribution across data centers and clouds, by using a secure, operationally simple platform. At its core, DSE offers the industry’s best distribution of Apache Cassandra™. This paper provides a summary of the features and functionality of DataStax Enterprise that make it the best choice for companies that are looking to leverage the promise of Apache Cassandra™ for production environments.
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cloud, adoption, application, migration, performance
    
Datastax
Published By: Datastax     Published Date: Aug 23, 2017
Banks deal with mountains of data and complex transactions that far too often don’t capitalize on the power of an always-on, real-time data management platform to provide both financial insights and peace of mind. Today’s cloud applications require a new, far more holistic approach to data management and data protection. This eBook explains why the scalability, 100% availability, enterprise-grade security, and real-time insights of DataStax Enterprise are essential for banking in the modern world.
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transactions, modernizing, financial insights, data management
    
Datastax
Published By: Datastax     Published Date: Aug 23, 2017
About 10 years ago big data was quickly becoming the next big thing. It surged in popularity, swooning into the tech world's collective consciousness and spawning endless start-ups, thought pieces, and investment funding, and big data's rise in the startup world does not seem to be slowing down. But something's been happening lately: big data projects have been failing, or have been sitting on a shelf somewhere and not delivering on their promises. Why? To answer this question, we need to look at big data's defining characteristic - or make that characteristics, plural - or what is commonly known as 'the 3Vs": volume, variety and velocity.
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datastax, big data, funding
    
Datastax
Published By: Datastax     Published Date: Mar 06, 2018
This person clearly didn’t work in the financial sector and clearly didn’t use real-time data management technology to power innovative financial apps. When it comes to numbers - specifically, money numbers and customer interactions - you really don’t want to leave your data at the mercy of a legacy system that doesn’t let you mine your data for all the instant insights it can offer.
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Datastax
Published By: Datastax     Published Date: May 14, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Datastax     Published Date: May 14, 2018
The data management practices of old will no longer work. If you’re still trying to use a centralized approach, you are probably finding it difficult to keep up with the real-time demands of the Right-Now Economy. This special Gartner report describes the main drivers for modernizing data management — operational efficiency and analytics — and explains why balancing connecting data with collecting data will be a fundamental requirement for modern data management moving forward.
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Datastax
Published By: Datastax     Published Date: Aug 27, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Oracle + Dyn     Published Date: Aug 31, 2017
"Hybrid cloud adoption is exploding, with 80% of enterprises having at least some infrastructure in the cloud. This growth includes increased use of multiple endpoints to deliver applications, sites and services, requiring a performance management strategy to ensure those services reach users effectively. This educational webinar will cover the importance of: • Optimizing round trip times and latency, with clear real-time data • Understanding the importance of load balancing and active failover • Protecting your service from route hijacks, DDoS attacks and mitigating vulnerabilities Watch this short Video Webinar and learn how focusing on the DNS layer can help you plan, migrate and optimize your way to cloud success! Watch now! "
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Oracle + Dyn
Published By: IBM     Published Date: Jul 02, 2018
Cloud has evolved from a technological innovation to an integral part of business. Companies in every industry are investing in Digital Transformation initiatives to evolve and grow; often, cloudbased platforms are foundational elements of these transformations, as businesses increasingly seek the flexibility and agility to roll out new software services in days or weeks, versus months or years. As Digital Transformation initiatives unfold, one key challenge is to modernize the data center to facilitate rapid delivery of new applications and services—while still ensuring that existing missioncritical applications remain high performing, available, and secure. Another challenge relates to new requirements for accelerating the analysis of organizational data to near real time, much faster than previously possible with earlier incarnations of Business Intelligence (BI). Agile businesses are demanding faster access to the information contained within operational and business data stores to
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IBM
Published By: Sage Software     Published Date: Jun 20, 2018
Legacy Enterprise Resource Planning (ERP) solutions are no longer capable of keeping up with today’s fast-moving world – Enterprise Management is the new business reality. Whether you’re a manufacturer, distributor, service provider or mid-market enterprise, we’ll reveal to you a world beyond ERP. • Download our new ‘Move Beyond ERP’ eBook to understand the business challenges you have, and how to meet them. • Understand why businesses are outgrowing traditional ERP and are burdened by its inefficiencies. • Look at the benefits of Enterprise Management, which provides real-time data intelligence, improved forecasting, and accelerated business processes.
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sage enterprise management, bms, erp, bom, enterprise accounting, enterprise intelligence, drp, enterprise
    
Sage Software
Published By: Sage Software     Published Date: Jun 20, 2018
Data inundation and information overload have burdened practically every largescale enterprise today, providing great amounts of detail but often very little context on which executives can act. According to the Harvard Business Review, less than half of an organization’s structured data is actively used in making decisions. The burden is felt profoundly among finance executives, who increasingly require fast and easy access to real-time data in order to make smart, timely, strategic decisions. In fact, 80% of analysts’ time is spent simply discovering and preparing data, and the average CFO receives information too late to make decisions 24% of the time.
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sage enterprise management, bms, erp, bom, enterprise accounting, enterprise intelligence, drp, enterprise
    
Sage Software
Published By: Sage Software     Published Date: Nov 12, 2018
Sage Business Cloud Enterprise Management offers you a comprehensive, real-time solution that delivers accurate, up-to-date data that identifies and mitigates the consequences of product recalls and other supply chain issues. With Sage Business Cloud Enterprise Management, your food and beverage business will have a faster, simpler and flexible way to keep the costs and reputational damage of recalls to a minimum.
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Sage Software
Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
The security information and event management (SIEM) market is defined by the customer's need to analyze event data in real time for the early detection of targeted attacks and data breaches, and to collect, store, analyze, investigate and report on event data for incident response, forensics and regulatory compliance. The vendors included in our Magic Quadrant analysis have products designed for this purpose, and they actively market and sell these technologies to the security buying center.
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Group M_IBM Q119
Published By: Selligent Marketing Cloud     Published Date: Mar 07, 2018
Context can make or break the communication – and, ultimately, the relationship – between a consumer and a brand. Today’s consumers expect relevant communications that speak directly to their needs in the moment. We have the technology today to deliver such messages – but there are significant barriers to developing relevant, contextual programs of this kind. Some of the development challenges represent new versions of old challenges. Take data as an example: it has always been hard to harness data from different sources and to leverage insights in real time. But today, there are additional opportunities – if not expectations – for marketers to use contextual data to better reach and engage customers through the optimal channel(s).
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data driven marketing, contextual marketing, cmo, omnichannel, multichannel, automation, loyalty, crm
    
Selligent Marketing Cloud
Published By: Commvault ABM Oct     Published Date: Jul 17, 2019
Automating disaster recovery and disaster recovery testing saves time and budget, plus reduces risk when there is an actual emergency. With weather events, ransomware, and other outages distruping your business, you need a modern disaster recovery solution that really works at time of disaster. Choosing the right disaster recovery solution can be the difference between keeping your business up and running or going dark during an emergency. Learn hoe the commvault platform for data management provides availability for your business against today's real world outages
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Commvault ABM Oct
Published By: Oracle     Published Date: Sep 25, 2019
When you unify data across your organisation, supply chain management and planning becomes more holistic and accurate. You get a real time view of supply and demand, with intelligent insights into new opportunities for business growth. This video explains the opportunities waiting for any supply chain manager who is ready to embrace connected data. Prepare for data leadership. Watch our video now.
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Oracle
Published By: Oracle EMEA     Published Date: Nov 12, 2019
This webinar demonstrates how connected data changes everything. In an autonomous world you’ll take the lead, becoming central to your company’s success. Machine learning will take care of the day-to-day maintenance leaving you to focus on design, analytics and strategy. And crucially, you’ll find yourself empowering and inspiring your colleagues to gain their own insights from real- time data.
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Oracle EMEA
Published By: Oracle OMC     Published Date: Nov 30, 2017
Lead nurturing is about helping buyers along in their educational journey. Thus, it’s most effective when triggered by prospect activity or behaviors. Lead management technologies are often used to automate such real-time marketing. This type of software makes it possible to track leads and automate content delivery while simultaneously collecting behavioral data and triggering corresponding actions.
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Oracle OMC
Published By: Informatica     Published Date: Oct 28, 2011
In this White Paper, Bloor Research director Philip Howard discusses how Data Replication can help you deliver active data warehousing for analytics.
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Informatica
Published By: MicroStrategy     Published Date: Jun 11, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics to and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. Furthermore, analytics are not always easy for line of b
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MicroStrategy
Published By: Data Stax     Published Date: Apr 27, 2012
This paper examines key data management challenges facing modern businesses and explains how DataStax Enterprise provides the first post-relational database solution to handle real-time, analytic, and search data without using RDBMS solutions.
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datastax, data stax, data management, database management, database, enterprise, search data, rdbms
    
Data Stax
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