data management insight

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Published By: Oracle EMEA     Published Date: Oct 08, 2019
Data management doesn’t come easier than this. Thanks to machine learning, artificial intelligence and the power of the cloud just about anyone can gain insight of their data. Easy to install, just tell the service level what you want and it does the rest. Oracle Autonomous Database self-repairs, patches automatically and counters threats with artificial intelligence. Autonomous for Dummies? We think its pretty smart.
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Oracle EMEA
Published By: Oracle     Published Date: Sep 26, 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     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: TIBCO Software     Published Date: Jun 14, 2019
As recognized leader in master data management (MDM), and a pioneer in data asset management, TIBCO EBX™ software is an innovative, single solution for managing, governing, and consuming all your shared data assets. It includes all the enterprise class capabilities you need to create data management applications including user interfaces for authoring and data stewardship, workflow, hierarchy management, and data integration tools. And it provides an accurate, trusted view of business functions, insights, and decisions to empower better decisions and faster, smarter actions. Download this datasheet to learn: What makes EBX™ software unique Various capabilities of EBX software The data it manages
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TIBCO Software
Published By: Beqom     Published Date: Jun 14, 2019
New Techniques That Will Drive Revenue in 2019 If you’re ready to move beyond simple calculations and realize the vast potential of data driven selling, you’re ready to explore the next generation of SPM platforms. Download the report to learn how the modern technologies like Artificial Intelligence and Machine Learning, can give your sales reps a roadmap to better performance and give sales management insights that will enable them to achieve more profitable sales.
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Beqom
Published By: Forcepoint     Published Date: Jun 06, 2019
As more and more companies are encouraging their employees to work from anywhere, on any device, data loss prevention (DLP) has evolved from an option to a requirement. In the past, DLP has been associated with complicated deployments and pervading operational management issues, yet DLP is not so much a product but a strategy—success depends on methodology and execution. Download the whitepaper for insightful guidance on implementing DLP. Key topics include: • Latest data-breach trends • Assessing DLP vendors • Nine-step framework • Best practices to ensure success
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Forcepoint
Published By: Domino Data Lab     Published Date: May 23, 2019
Lessons from the field on managing data science projects and portfolios The ability to manage, scale, and accelerate an entire data science discipline increasingly separates successful organizations from those falling victim to hype and disillusionment. Data science managers have the most important and least understood job of the 21st century. This paper demystifies and elevates the current state of data science management. It identifies best practices to address common struggles around stakeholder alignment, the pace of model delivery, and the measurement of impact. There are seven chapters and 25 pages of insights based on 4+ years of working with leaders in data science such as Allstate, Bayer, and Moody’s Analytics: Chapters: Introduction: Where we are today and where we came from Goals: What are the measures of a high-performing data science organization? Challenges: The symptoms leading to the dark art myth of data science Diagnosis: The true root-causes behind the dark art m
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Domino Data Lab
Published By: Forcepoint     Published Date: May 14, 2019
As more and more companies are encouraging their employees to work from anywhere, on any device, data loss prevention (DLP) has evolved from an option to a requirement. In the past, DLP has been associated with complicated deployments and pervading operational management issues, yet DLP is not so much a product but a strategy—success depends on methodology and execution. Download the whitepaper for insightful guidance on implementing DLP. Key topics include: • Latest data-breach trends • Assessing DLP vendors • Nine-step framework • Best practices to ensure success
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Forcepoint
Published By: SAS     Published Date: Mar 20, 2019
Seeing value from analytics and emerging technologies such as AI begins with trust in the data. That trust relies on how data is collected, shared, protected and used. The annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights – and what steps are needed to get trustworthy data.
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SAS
Published By: Claravine     Published Date: Jan 03, 2019
Marketers have long struggled with the simple task of knowing which marketing spend is truly effective, and how to optimize that spend. At the heart of the issue lies the challenge of ensuring the data quality and consistency exists to make decisions based on real intelligence. Why is this a problem? First, effective tracking is reliant on the consistent, complete application of campaign tracking codes and associated metadata, which has traditionally been a manual, ungoverned process. Adding to this complexity has been the dramatic expansion of digital marketing point solutions, and the disparate teams expected to execute across each of these channels and geographies. The result is what you would expect—highly inaccurate, incomplete, and inconsistent data that must be manually cleaned before reporting is possible. Fortunately a solution exists. Progressive marketing leaders are implementing Digital Experience Data Management (DXDM), ensuring the rich, consistent insights critical to ma
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Claravine
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: AWS - ROI DNA     Published Date: Aug 09, 2018
In today's data -driven digital environment, companies are collecting, transforming and connecting data in innovative and meaningful ways. A robust information and data management solution enables you to leverage the power of your data, exploring and uncovering insights in documents, images and audio across billions of inputs and existing data assets.
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AWS - ROI DNA
Published By: KPMG     Published Date: Jul 10, 2018
Modern regulation demands connected thinking, leading-practice processes, optimal data management and insightful reporting – all of which makes the finance function the ideal catalyst for change. Read this report to find out: • how to structure a transformation plan and strategy • how to create the optimal team for transformation • what leading companies are doing to drive transformation through regulatory change.
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KPMG
Published By: KPMG     Published Date: Jul 10, 2018
Modern regulation demands connected thinking, leading-practice processes, optimal data management and insightful reporting – all of which makes the finance function the ideal catalyst for change. Read this report to find out: • how to structure a transformation plan and strategy • how to create the optimal team for transformation • what leading companies are doing to drive transformation through regulatory change.
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KPMG
Published By: Adverity     Published Date: Jun 15, 2018
Master Your Client's Data To Build An Advertising Agency For The Future This is the first part of our ebook Strategic Playbook For Data-driven Advertising Agencies. In this instalment we cover how agency executives can benefit from their client's data to maintain a sustainable, future-proof business in times of digital transformation. Scaling your business with Marketing Intelligence Building a data strategy to stay ahead of the curve Mastering the end-to-end data management process Once you decide to master your data, you will be rewarded with deep, meaningful insights and happy long-term clients that get the most out of their data. We know it’s worth it! Signup and download the 28-page pdf-document to understand how data will secure your spot in the future advertising industry.
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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
    
Adverity
Published By: CA Technologies EMEA     Published Date: May 25, 2018
As cycles accelerate and timelines shorten, projects are being recognized—by necessity— as the delivery arm for strategy. In this environment, anything less than real-time access to real-time project data is too slow, because businesses need to know where they’re heading, not just where they’ve been. CA Project & Portfolio Management (CA PPM 15.3) has added new capabilities to support project, financial and resource management across individual initiatives and entire portfolios. We’ve also built new, embedded BI capabilities that make powerful data and insights more accessible to everyone.
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budgets, project, cash, flows, finance, project, management
    
CA Technologies EMEA
Published By: Sage People     Published Date: May 18, 2018
In some kinds of more traditional businesses the finance department tends to swallow as much data as is thrown at it but only outputs small, measured and curated amounts of insights periodically: “Here’s revenue vs target in the last quarter”. These are undoubtedly essential for proper business management, But periodic reports also mean it can be too late for the business to respond. It’s like driving by looking only in the rear-view mirror. Looking at what’s behind isn’t going to let you spot a sudden bend in the road! Essentially, the highly competitive and evolved business environment of today requires businesses to have proactive, indicative business metrics. Combined with more traditional metrics, these mean businesses have invaluable and complete insight in order to evaluate performance. Proactive, indicative business metrics are found across most successful businesses–and especially amongst C-suite employees. These people know that the benefits are proven. Analytics-driven execu
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Sage People
Published By: Adobe     Published Date: May 15, 2018
Discover how data management platforms can enable marketers to tackle growing data challenges, create powerful customer insights, and set up marketing campaigns that will increase revenues and significantly decrease wasted effort.
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Adobe
Published By: Sage Software (APAC)     Published Date: May 02, 2018
Data overload have burdened practically every largescale enterprise today. It’s vital for competitive enterprise not only to find solutions that will deliver the right data at the right time, but also be confident that the data they are looking at is governed and trusted. Sage Business Cloud Enterprise Management enables businesses to gain real-time access to data and make critical business decisions; achieve a better ROI while reducing IT overhead; automate data integration and deliver a 360-degree view of the businesses; mitigate data security risks and comply with legal regulations. Download this whitepaper and discover how to overcome some common challenges of information overload to increase your business insight and visibility.
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Sage Software (APAC)
Published By: Adobe     Published Date: Apr 17, 2018
Discover how data management platforms can enable marketers to tackle growing data challenges, create powerful customer insights, and set up marketing campaigns that will increase revenues and significantly decrease wasted effort.
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Adobe
Published By: Tableau     Published Date: Apr 13, 2018
In this whitepaper, discover the benefits of expanding your analytics toolkit. Combine Excel’s data collection and management capabilities with Tableau’s intuitive, analytical power to transform your raw data into actionable insights. Focus on the questions that take your data beyond the spreadsheet. Read more at about this partnership.
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Tableau
Published By: Adobe     Published Date: Mar 26, 2018
Discover how data management platforms can enable marketers to tackle growing data challenges, create powerful customer insights, and set up marketing campaigns that will increase revenues and significantly decrease wasted effort.
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Adobe
Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
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: Oracle     Published Date: Feb 21, 2018
Artificial Intelligence (AI) is evolving at a rising pace, now able to mine vast amounts of data and learn from experience, with the potential to reshape entire industries. One application of this technology is to streamline how businesses interact with their customers, through 'chatbots'.To look at how chatbots will change certain aspects of doing business, such as customer service, Ceylon FT also weighed in with Oracle's Vice President of Product Management, Suhas Uliyar, for his insight on the matter.
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Oracle
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