tactical data

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5-Minute Audience Targeting Primer

Published By: Oracle     Published Date: Sep 26, 2019
Marketing is not getting more difficult because of data— it’s actually getting easier. In the old days you needed to guess who your audience was and plan in advance what you wanted to say and wait far too long to see if it worked. Those days are long gone—now you can determine EXACTLY who your audience is, deliver a relevant, personalized message in a nanosecond, and find out almost immediately whether it worked! You no longer have to live by the spray-and-pray method— you can be tactical in your delivery. Marketing today is data-driven and uses a wealth of insights and connection points to engage with consumers one to one. Data about our customers and prospects gives us the ability to deliver the right message to the right audience at the right time. That’s audience targeting, and it’s far deeper than demo targeting, even though targeting by demo is a nice place to start. That said, the sheer volume of data and technology can be overwhelming. Cut through the noise and tackle the ba
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Oracle

How AI can improve contact center and agent performance

Published By: Genesys     Published Date: Jun 19, 2019
Successfully managing a contact center requires a collaborative, multidisciplinary approach to handle a broad range of operational and tactical tasks. Planning, day-to-day operations and quality management must be seamlessly orchestrated, along with human resources functions like recruitment, learning and development, and employee scheduling. Read this executive brief to learn how to transition to an AI strategy that can take your team – and business results – to the next level. See how you can: Create an AI strategy with a single data model that includes routing, interaction analytics, forecasting/scheduling and predictive engagement Harness the power of your data to align customers with the best resource Drive employee effectiveness by ensuring you hire the right people and manage their performance to drive their success over the long term
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Genesys

Unlock the Power of Data Capital: Accelerate DX

Published By: Dell APAC     Published Date: May 29, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC

Unlock the Power of Data Capital: Accelerate DX

Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC

Unlock the Power of Data Capital: Accelerate DX

Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC

Unlock the Power of Data Capital: Accelerate DX

Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC

Data Management Predictions 2019

Published By: Oracle     Published Date: May 08, 2019
Oracle DBAs Share Insights about the Future of Cloud, Security, Artificial Intelligence, and Autonomous Computing. This year, in addition to canvasing analysts, pundits, and executives for their strategic insights, Oracle is interested in the tactical views, predictions, and opinions of master DBAs, database product experts, and Oracle ACE Directors. We gathered insights about database management, security, artificial intelligence, autonomous computing, and many other topics and cover how future trends will impact DBA careers during 2019, and beyond. The Intelligent Enterprise Era. Download predictions.
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Oracle

From Tactics to Strategy: A Primer for FP&A Professionals

Published By: Prophix     Published Date: May 31, 2016
To have the greatest impact within your company, you need to contribute to strategy rather than focusing on tactical issues. But, to accomplish this means that you have to tap into your company's financial performance and unearth insights that will help senior leaders make better decisions. This “From Tactics to Strategy” webinar focuses on helping you play a more critical role in your organization’s success. The fast-paced session reveals how you can capture and leverage the data gathered from across your financial systems to help senior management make better and faster strategic decisions.
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best practices, financial performance, productivity, system management, business analytics, business management
    
Prophix

Key Drivers of Analytical Maturity Among Healthcare Providers

Published By: Infomatica     Published Date: Jul 15, 2015
The International Institute of Analytics presents healthcare results from their proprietary assessment tool, The Analytics Benchmark, including measurement of data-related tactical competencies and culture/leadership competencies necessary for data-driven decision-making to become ubiquitous inside organizations. Download this paper to benchmark where your organization stands in the five stages of maturity and the five elements of alignment needed for success.
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Infomatica

Mobility Insights And Analytics With IBM Watson

Published By: IBM APAC     Published Date: Aug 22, 2017
While working to maintain tactical control of the mobile environment, IT managers often find themselves drowning in minutiae. Overwhelmed by the number of moving parts, they’re unable to stay abreast of the latest threats, let alone extract meaning from or make decisions based on the mountains of data now being collected. With limited IT resources dedicated to mobile technology tools that facilitate reactive rather than proactive management—and limited visibility into mobile intelligence across the organization—many managers have had to choose between security and productivity as the focus of their efforts.
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security risks, it operations, workforce, advisor, mobile security, mobile metrics, cloud based, benchmarking data
    
IBM APAC

Forrester Data Refinement: Facilitating the data-driven organization

Published By: IBM     Published Date: May 16, 2016
The data-driven organization is the new benchmark for success. Firms that harness data to dictate strategic and tactical decisions companywide make more informed business plans, better optimize operations, improve customer interactions, and provide competitive edge. To achieve these benefits, organizations increasingly see data refinement - transforming raw data from various sources into relevant and actionable information and delivering it through self - service access to any user who needs it - as the path toward success by helping break though immature processes and legacy systems. However, data refinement only functions as well as the strategies and approaches behind it. Organizations that do not understand the right way to embrace refinement will fail to catch up to competitors that have mastered the correct approach.
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ibm, forrester, data-driven organization, data, analytics, analytic architecture, data management, business analytics
    
IBM

The Big Data Answer to Fighting Fraud and Financial Crimes

Published By: Teradata     Published Date: Jun 12, 2013
The ever-changing environment has offered fraudsters some tactical advantages to probe for holes in the defenses of financial services companies. Conventional approaches to fraud detection and remediation remain effective to a point, but conventional tools cannot effectively and economically process what is known as big data.
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enterprise risk intelligence, fraud detection, big data, fraud prevention
    
Teradata

Achieving a Unified Governance Strategy

Published By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
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ibm, unified governance strategy, data management, data governance
    
IBM

Where and How MDM Adds Value to the Business

Published By: Riversand     Published Date: Oct 30, 2017
MDM can add value to the business in many different ways. It most often does so indirectly, as an enabler for other business and IT initiatives. Some of these areas of potential benefit support shorter-term or tactical efforts at helping the business operate more efficiently — that is, they help to reduce the cost bases to "run the business." Some benefit areas of MDM are related more to helping users "grow the business." That is, they help to increase the revenue and market share within a given business model or framework. Yet other areas of opportunity fall into the "transform the business" arena — for example, allowing customer support representatives to perform inside sales activities enabled by trusted customer and product master data.
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Riversand

Better Reporting, Planning, and Analytics from Oracle EBS for Operations

Published By: Insight Software     Published Date: Oct 03, 2017
Forget making business decisions with outdated data. Keep operations on track with real-time insights from every facet of your business including finance to supply chain management. “The Operations Guru’s Guide to Oracle EBS” will help you master more efficient company operations so you can focus on making a massive operational impact. Tactical insights, covering: How your team can create usable, sharable reports and web-based dashboards tracking progress against company-wide KPIs from multiple systems, without leaning heavily on IT An industry analyst’s take on how to get better reporting and analytics from ERP and other critical data sources How Finance and IT leaders at Ladbrokes replaced Oracle reports and quit having to manipulate data in static spreadsheets
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Insight Software

Better Reporting, Planning, and Analytics from JD Edwards for Operations

Published By: Insight Software     Published Date: Oct 03, 2017
Forget making business decisions with outdated data. Keep operations on track with real-time insights from every facet of your business including finance to supply chain management. “The Operations Guru’s Guide to JD Edwards” will help you master more efficient company operations so you can focus on making a massive operational impact. Tactical insights, covering: How your team can create usable, sharable reports and web-based dashboards tracking progress against company-wide KPIs from multiple systems, without leaning heavily on IT An industry analyst’s view on how to get better reporting and analytics from ERP and other critical data sources How Bibby Distribution gave users throughout the company the ability to drill down into reports to get exactly the detail they needed to address immediate business issues
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Insight Software

Best Practices for Information Quality Management

Published By: Trillium Software     Published Date: May 25, 2011
To achieve business goals and objectives, you must first optimize the information supporting all of your business processes. Implementing an Information Quality Management practice and applying best practices will help maximize the value of your information.
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trillium software, information quality management, iqm, business process silos, tactical data, strategic information, productivity, mdm
    
Trillium Software

Best Practices for Information Quality Management

Published By: Trillium Software     Published Date: May 25, 2011
To achieve business goals and objectives, you must first optimize the information supporting all of your business processes. Implementing an Information Quality Management practice and applying best practices will help maximize the value of your information.
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trillium software, information quality management, iqm, business process silos, tactical data, strategic information, productivity, mdm
    
Trillium Software

Why Connectivity Has Become a Strategic Business Priority: Q&A with Magnitude's Tony Fisher

Published By: Simba by Magnitude     Published Date: Sep 20, 2019
In this Q&Asession, data industry veteran Tony Fisher shares his insights on how –and why –connectivity unleashes an enterprise’s greatest asset -its data.Learn:?What macro trends are driving how companies think about data today??Why has data connectivity shifted from being just a tactical tool to becoming a strategic business priority??Where are businesses falling short in their ability to access and connect to their data?
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Simba by Magnitude

Vulnerability Management Evolution: From Tactical Scanner to Strategic Platform

Published By: Qualys     Published Date: Nov 05, 2013
Organizations have traditionally viewed vulnerability scanners as a tactical product, largely commoditized and only providing value around audit time. But with limited resources and a real need to reduce risk, organizations need the ability to pull in threat-related data, combine it with an understanding of what is vulnerable, and figure out what is at risk. This report from Securosis outlines how yesterday's vulnerability scanners are evolving to meet this need, emerging as a much more strategic component of an organization's control set than in the past. Learn how vulnerability scanners are evolving to provide real value beyond vulnerability reports for auditors - emerging as a strategic component helping organizations effectively lower risks.
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qualys, securosis, vulnerability, vulnerability management, scanning, infrastructure, core technologies, value-add technologies
    
Qualys

Tap Into CRM Use Cases for Big Data and Analytics to Drive Customer Engagement

Published By: ClearSlide, Inc     Published Date: Feb 25, 2015
Organizations treat customer data as a key component of CRM. Many organizations see an effective customer data management strategy as an important cornerstone of their CRM strategy. Most organizations are moving beyond tactical CRM initiatives focused on saving cost and driving efficiency to making their organization more effective and focused on driving better customer engagement and experience. Customer data is used to enhance customer experiences, improve service quality, target marketing efforts, capture customer sentiment, increase upsell opportunities and trigger product and service innovation.
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crm, big data, customer engagement, customer service
    
ClearSlide, Inc

From Business Insight To Business Action

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 organization’s 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

Boost your Mobile ROI with Powerful Cognitive Insights from IBM MaaS360

Published By: IBM     Published Date: May 01, 2017
Today's mobile landscape is very much a moving target. IT managers must keep track of all types of devices and platforms, hundreds if not thousands of applications and a threat landscape that changes by the minute. In this ever-changing environment, IT staff often find themselves drowning in mobile minutiae, overwhelmed by mountains of endpoint data but unable to extract meaning from it or make business decisions based on it. The tactical challenge of keeping infrastructure and business data secure while keeping workers productive each day takes precedence. And even then, IT managers can find themselves choosing between security and productivity as they decide how best to spend limited time and resources. This whitepaper will guide you how to get deep visibility into relevant endpoint data within the platform, granting actionable intelligence that can have a measurable impact on your organization.
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it staff, applications, business data, data security, it managers, endpoint data, device, platforms
    
IBM

The SAS Data Governance Framework: A Blueprint for Success

Published By: SAS     Published Date: Aug 28, 2018
Starting data governance initiatives can seem a bit daunting. You’re establishing strategies and policies for data assets. And, you’re 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 Dyché and Evan Levy have noted, data governance is a combination of strategy and execution. It’s 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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