decision making

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Published By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of datastructured like databases, unstructured like documentsin multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. Its the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
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visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence, real-time data, real-time data visualization, real-time data discovery, data variety software, data discovery software, data analysis software, data mining tools, data extraction, data reporting, pdf to excel, business reporting, data solutions
    
Datawatch
Published By: Datorama     Published Date: Aug 26, 2014
The extreme complexity of todays marketing landscape, combined with the abundance of choices available to consumers, means marketers need to approach each marketing decision as intelligently as possible. Download this whitepaper to learn how marketers can utilize omni-channel analytics to garner strategic insights and guide them in the decision making process.
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marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics, marketing reports, roi reporting, reporting generator, automated reporting tool, marketing dashboard, marketing data, marketing intelligence, report software, marketing reporting, marketing metrics, performance marketing, marketing performance
    
Datorama
Published By: Eaton     Published Date: Jan 26, 2016
When designing a power protection scheme for their data center, IT and facilities managers must ask themselves whether a distributed or centralized backup strategy makes more sense. Unfortunately, there is no easy answer to that question. Companies must weigh each architectures advantages and disadvantages against their financial constraints, availability needs and management capabilities before deciding which one to employ. This white paper will simplify the decision-making process and lessen the potential weaknesses of whichever strategy you ultimately select.
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eaton, distributed backup strategy, centralized backup strategy, facility managers, data center solutions, it management, knowledge management, enterprise applications
    
Eaton
Published By: IBM     Published Date: Jul 22, 2016
Read this Forrester report to learn how digital intelligence can help you combine insights from existing, new and emerging channels to drive timely, customer-obsessed decision-making. Get an up-close look at the disruptive nature of digital intelligence technology and find out how to continuously improve customer engagement.
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ibm, commerce, customer analytics, customer experience, digital intelligence, forrester, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Sep 16, 2014
To compete in todays rapidly changing business environment, organizations need to capture, analyze and act on information rapidly. If they can quickly identify trends, discover patterns and generate new insights, they can address a wide array of strategic and operational goalsfrom increasing customer loyalty and creating targeted marketing offers to enhancing operational efficiency and reducing risk. In their report, Business Value of Big Data on Power Systems, NC State University talks about unlocking the business value of big data, and how IBM Power Systems can deliver the foundation for organizations to bring insight to the point of impact faster.
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big data, targeted marketing offers, ibm power systems, structured data, data management, business analytics, business intelligence, business management
    
IBM
Published By: IBM     Published Date: Dec 24, 2014
Organizations and intelligence agencies from a variety of industries and sectors face the same challenges when it comes to big data the need to uncover actionable insights, with limited resources, with critical speed. But with the right intelligence solution, overwhelming data wont be a challenge, rather, it becomes your resource to smarter, more effective decision making.
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ibm, big data, insight analysis, big data analysis, intelligence solutions, advanced analytics, business decision making, it management, business analytics, business intelligence
    
IBM
Published By: IBM     Published Date: Dec 24, 2014
Watch the video above to learn about the new big data and advanced analytics solution from IBM.
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ibm, big data, insight analysis, big data analysis, intelligence solutions, advanced analytics, business decision making, it management, business analytics, business intelligence
    
IBM
Published By: IBM     Published Date: Jan 16, 2015
Read this IBM white paper to find out how B2B Services Reporting and Analytics provide new insights into your trading partner relationships and to drive better, more profitable business decisions.
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ibm, b2b services reporting, b2b services analytics, trading partner relationships, business decision making, b2b transactions, transactional data, knowledge management, business analytics
    
IBM
Published By: IBM     Published Date: Jan 16, 2015
Watch this video with Bryan Ball, Vice President and Principal Analyst for Supply Chain Management with the Aberdeen Group to find out why so many companies are turning to B2B collaboration to reduce costs, increase margins, and keep up with the escalating pace of business.
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ibm, b2b integration, b2b collaboration, business decision making, supply chain management, cost reduction, collaboration
    
IBM
Published By: IBM     Published Date: Feb 05, 2015
Revealing new insights into agency performance, claims processing, customer profitability and exposure.
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agency performance, claims processing, customer probability, advanced analytics
    
IBM
Published By: IBM     Published Date: Feb 11, 2015
IBM Security offerings can help federal organizations employ a continuous diagnostics and mitigation approach to enhance and automate continuous network monitoring capabilities; correlate and analyze critical data; and increase risk-based decision-making at the federal enterprise level.
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ibm, ibm security, continuous diagnostics, network monitoring capabilities, risk-based decision-making, security, it management, best practices, business activity monitoring, data protection
    
IBM
Published By: IBM     Published Date: Feb 04, 2016
Disruptors are reinventing business processes and leading their industries with digital transformations. Learn more about personalized front-line decision making, real time insight driven processes, and ecosystem-based innovation.
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ibm, middleware, solutions, digital, security, cyber threats, backup and recovery, data protection, database security
    
IBM
Published By: IBM     Published Date: Apr 06, 2016
As big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to balance data security and quality reduces confidence in decision making. Read this e-Book for tips on securing big data environments
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ibm, big data, data security, risk management, security
    
IBM
Published By: IBM     Published Date: Jul 15, 2016
As big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to balance data security and quality reduces confidence in decision making. Read this e-Book for tips on securing big data environments.
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ibm, data, security, big data, data management
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these hybrid environments that people will look for insights to make critical decisions.
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cloud-based data, data quality, data management, hybrid environment, decision making
    
IBM
Published By: Group M_IBM Q2'19     Published Date: May 21, 2019
ODM is the evolution of business rules management. It provides a complete, easy-to-use system for automating day-today operational decisions and allows businesspeople and IT to collaborate on business rules by using an interface and a language that are comfortable and intuitive for both. ODM not only allows you to automate your business rules, but also it enables you to apply insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. It ensures that youre making the right decisions at the right time, when it can make a difference. What can this mean for your business? Adopting operational decision management can: Improve customer centricity (acquisition and retention) by engaging individuals at the right time with the right offers
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Group M_IBM Q2'19
Published By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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Cisco
Published By: IBM     Published Date: Apr 03, 2017
Businesses today certainly do not suffer from a lack of data. Every day, they capture and consume massive amounts of information that they use to make strategic and tactical decisions. Yet organizations often lack two critical capabilities when it comes to making the right decisions for the business: the ability to make accurate predictions about the future, and to then use those predicted insights in conjunction with organizational goals to identify the best possible actions they should take. The combination of predictive analytics and decision optimization provides organizations with the ability to turn insight into action. Predictive analytics offers insights into likely scenarios by analyzing trends, patterns and relationships in data. Decision optimization prescribes best-action recommendations given an organizations business goals and business dynamics, taking into account any tradeoffs or consequences associated with those actions.
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predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources, data optimization
    
IBM
Published By: IBM     Published Date: Jun 21, 2017
This report is designed to help you make an informed decision about IBM Cloudant. It is based on 22 ratings and 21 in-depth user reviews of Cloudant on TrustRadius, the trusted user review site for business software. By crowd-sourcing user perspectives, we help you to get a true sense of the product. This report includes analysis of the types of customers (company sizes, industries etc.) that use Cloudant, what companies and users like most about the product, as well as areas for improvement
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ibm, ibm cloudant, demographic, cloud computing, decision making
    
IBM
Published By: IBM     Published Date: Oct 19, 2017
In the digital economy, big IT budgets, lots of brick sand mortar and an established market presence are no longer at the foundation of a competitive advantage. What matters now is the agility and speed to ensure that customer centricity is supported as an overriding priority of business operations and decision making. Game-changing ideas are developing and competitive threats are emerging at a rapid and unpredictable pace. The resulting digital disruption is not just occurring at the margins or within isolated pockets of industry and commerce. Its the new normal and its consequences are far reaching. The essential question for every organization in every sector is simply: Will we be the disruptor or will we allow ourselves to be the disrupted? Staying ahead requires adopting a combination of technology solutions. Key among them is a smart process and decision management system that infuses every process with intelligence in order to continuously raise the bar for customer centricity,
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IBM
Published By: IBM     Published Date: Oct 19, 2017
In the digital economy, big IT budgets, lots of brick sand mortar and an established market presence are no longer at the foundation of a competitive advantage. What matters now is the agility and speed to ensure that customer centricity is supported as an overriding priority of business operations and decision making. Game-changing ideas are developing and competitive threats are emerging at a rapid and unpredictable pace. The resulting digital disruption is not just occurring at the margins or within isolated pockets of industry and commerce. Its the new normal and its consequences are far reaching. The essential question for every organization in every sector is simply: Will we be the disruptor or will we allow ourselves to be the disrupted? Staying ahead requires adopting a combination of technology solutions. Key among them is a smart process and decision management system that infuses every process with intelligence in order to continuously raise the bar for customer centrici
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IBM
Published By: Safari Books Online     Published Date: Jun 08, 2009
This white paper explores how project management professionals (PMPs), their technology teams, and other key stakeholders can minimize technology project delays by supplementing best practice processes and popular project management software with digital libraries that provide on-demand access to critical technology information.
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pmp, how project management professionals, safari books online, project lifecycle, collaboration, digital library, business initiatives, budget, cost cutting, decision making, search engine platform, free form search, api, best practices, business management, project management
    
Safari Books Online
Published By: Zycus     Published Date: Jul 29, 2010
Spend analysis has gradually become the top process in the procurement executive's toolbox, placing itself in the top tier of functionalities alongside e-sourcing, e-procurement and strategic sourcing solutions.
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zycus, recession, downturn, procurement, sourcing companies, sourcing services, sourcing, reverse auction, e sourcing, eprocurement, strategic planning, procurement and outsourcing, [sourcing companies], [sourcing services], procurement strategy, procurement services, reverse auctioning, procurement management, electronic procurement, strategic procurement
    
Zycus
Published By: SAS     Published Date: Aug 28, 2018
Unpolluted data is core to a successful business particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
Starting data governance initiatives can seem a bit daunting. Youre establishing strategies and policies for data assets. And, youre committing the organization to treat data as a corporate asset, on par with its buildings, its supply chain, its employees or its intellectual property. However, as Jill Dych and Evan Levy have noted, data governance is a combination of strategy and execution. Its an approach that requires one to be both holistic and pragmatic: Holistic. All aspects of data usage and maintenance are taken into account in establishing the vision. Pragmatic. Political challenges and cross-departmental struggles are part of the equation. So, the tactical deployment must be delivered in phases to provide quick wins and avert organizational fatigue from a larger, more monolithic exercise. To accomplish this, data governance must touch all internal and external IT systems and establish decision-making mechanisms that transcend organizational silos. And, it must provi
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SAS
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