data insights

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Published By: SAS     Published Date: Jun 26, 2019
To support open government initiatives and uphold the values of transparency, participation and collaboration in the US, federal agencies today make their data open, or publicly accessible. Citizens can use this open data to assess college affordability, the economy, educational issues, environmental damage, health care, taxes, agriculture, the climate and more. Governments can use APIs to pull this open data into SAS Visual Analytics as a way to identify trends and patterns and obtain all sorts of new insights. With public health surveillance, for example, governments can monitor and evaluate indicators that point to high-risk areas so they’ll know where and how to focus efforts. Such public health surveillance can serve as an early warning system for impending emergencies, document the impact of an intervention, track progress toward public health goals, and clarify health problems to inform public health policies and strategies.
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SAS
Published By: Adobe     Published Date: Jun 26, 2019
The world of advertising has become a complex tangle of organizational silos, disconnected platforms, and scattered customer data, turning even the simplest media buy into a chaotic event. But it doesn’t have to be this way. When you unify your audience data, media inventory, and performance results you get a clear view of ad activity and investment. So you can better allocate budgets. And dramatically boost your return on ad spend. Read Behind every great ad, there are a million digital connections for valuable insights on: - How the fragmented ad landscape keeps you from connecting with customers - Strategies for integrating technology and data to reach customers everywhere - Tips for recovering from data loss — and avoiding it altogether.
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Adobe
Published By: Adobe     Published Date: Jun 26, 2019
Get inside the minds of key decision-makers in mid-size companies who are tackling today’s biggest content management challenges. Learn how they’re thinking, what they see as opportunities, and how they’re planning to come out on top. With more than 7,000 CMS solutions available from more than 6,000 unique suppliers, you have a mind-boggling array of options — making it hard to know which path to take and how to decide. Here's your chance to get inside the minds of key decision-makers who are tackling today’s biggest content management challenges: - Personalization - Keeping up with current technology - Difficult-to-use content management systems - Over-reliance on IT teams for simple functions - Inadequate access to customer data and insights - Integrating third-party apps - Managing and optimizing content
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Adobe
Published By: Adobe     Published Date: Jun 26, 2019
Put your data in the hands of those who need it most, so they can act quickly to deliver great customer experiences. And a better bottom line. Data is no longer the domain of a few. Everyone in your organization should be thinking about it. And more importantly, acting upon it. This means taking data insights out of the realm of data scientists and making them a natural part of everyone’s workflow — from the marketing department to the executive team. To seize and capitalize on the data you already have, it’s important for analysts and marketers to rethink data—shifting from a reporting mindset to an action mindset. 74% of organizations want to be data driven, yet only 29% say they’re good at connecting analytics to action.
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Adobe
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: 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: AWS     Published Date: Jun 11, 2019
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have. DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost. Join our webinar to learn: Why you don’t need to be an expert in data science to create accurate predictive models. How you can build and deploy pr
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AWS
Published By: Oracle     Published Date: Jun 10, 2019
Data is central to marketing function, yet research shows that 50% of CMOs struggle to manage data volumes, or gain insights. Read how to address data ethics and management in your organisation. Marketing’s top priority is to enforce technologies enabling real time data insights to drive instant, personalised CX. Meanwhile, only 30% of CMOs say they have data visualisation dashboards to analyse specific sets of data. Read the findings
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Oracle
Published By: Oracle     Published Date: Jun 10, 2019
In our recent report, we look into the reasons why HR feel less than confident in their ability to manage the volume of data securely and ethically. From extracting the right type of insights to improving employee productivity and engagement to managing the skills pipeline. We look forwards to how HR can improve their systems by using automated technologies such as artificial intelligence and machine learning. Read the survey today to see how your organisation compares to your peers.
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Oracle
Published By: KPMG     Published Date: Jun 06, 2019
HR’s most confident leaders are using data, predictive insights and AI to transform HR into a new value driver. Discover what it takes to become an HR transformation trailblazer. Read this report to discover: • how trailblazers are exploiting uncertainty to drive new competitive advantage • which technologies HR leaders are investing in • what it means to integrate human and digital labour in a collaborative workplace • six priorities for forward-looking HR leaders.
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KPMG
Published By: DataCore     Published Date: Jun 06, 2019
Nothing in Business Continuity circles ranks higher in importance than risk reduction. Yet the risk of major disruptions to business continuity practices looms ever larger today, mostly due to the troubling dependencies on the location, topology and suppliers of data storage. Get insights on how to avoid spending time and money reinventing BC/DR plans every time your storage infrastructure changes.
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business continuity, disaster recovery, data protection, software defined storage, virtualization, storage, downtime, high availability, replication, storage infrastructure
    
DataCore
Published By: Oracle     Published Date: Jun 04, 2019
In our recent report, we look into the reasons why HR feel less than confident in their ability to manage the volume of data securely and ethically. From extracting the right type of insights to improving employee productivity and engagement to managing the skills pipeline. We look forwards to how HR can improve their systems by using automated technologies such as artificial intelligence and machine learning. Read the survey today to see how your organisation compares to your peers.
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Oracle
Published By: Oracle     Published Date: Jun 04, 2019
This survey report shows that while finance departments take responsibility for ensuring there are data-management strategies in place that include securing their organisation’s data, they struggle to manage the huge volumes of data and gain valuable insights from it. This affects both their confidence in the security of the data and their ability to manage it ethically. The number one priority of finance leaders is to enforce technologies that enable insights instantly, any place, anytime, to enable better forecasting. Read report
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Oracle
Published By: Oracle     Published Date: Jun 04, 2019
How confident are you and your peers about the data and security practices you’re working with? We asked 5,000 executives globally, across 24 markets and have some interesting results to share. For example, up to half of IT leaders consider their data is manageable but struggle to gain meaningful insights from it. Yet, while AI and autonomous technology could help relieve this situation, they aren’t high on the priority list. Read our report to find out more about executives’ views about data in connection with security, ethics, and visualisation. Read the report
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Oracle
Published By: Oracle     Published Date: Jun 04, 2019
Data is central to marketing function, yet research shows that 50% of CMOs struggle to manage data volumes, or gain insights. Read how to address data ethics and management in your organisation. Marketing’s top priority is to enforce technologies enabling real time data insights to drive instant, personalised CX. Meanwhile, only 30% of CMOs say they have data visualisation dashboards to analyse specific sets of data. Read the findings
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Oracle
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
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
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
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
Published By: HERE Technologies     Published Date: May 24, 2019
How secure is your company’s network? The rising frequency of employee network access is fast becoming one of the most prevalent and unmanaged risks to the protection of critical enterprise data. When coupled with increasingly sophisticated cyber-attacks, the possibility of a security breach of enterprise networks becomes more likely. As one of the world’s leading location platforms in 2018, HERE shares insights and solutions to preventing identity fraud. Discover the latest facts and statistics. Learn more about the use-case of location verification when logging into your company’s network. Download the infographic from HERE Technologies.
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technology, mapping, location data
    
HERE Technologies
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: TIBCO Software     Published Date: May 16, 2019
Banks globally are betting big on artificial intelligence and machine learning to give them the technological edge they need for more real-time, personalized and predictive banking services. A framework will help both differentiate early winners and provide them with sustained advantages in intelligence. Download this IDC Analyst Infobrief to learn about how the world’s best banks are becoming more personal, more predictive, and more real-time than ever. What you will learn: 8 trends that reflect bank’s readiness for connected intelligence 9 pitfalls to avoid & 9 ways to bridge the gaps The personal, real-time and predictive building blocks of AI & ML for banks Notable leaders based on IDC Financial Insights’ research and their respective use cases Essential guidance from IDC to leading banks
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data, analytics, customer, banks, intelligence, capabilities, customers, insights, banking
    
TIBCO Software
Published By: IBM APAC     Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance. Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
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IBM APAC
Published By: IBM APAC     Published Date: May 14, 2019
Machine Learning For Dummies, IBM Limited Edition, gives you insights into what machine learning is all about and how it can impact the way you can weaponize data to gain unimaginable insights. Your data is only as good as what you do with it and how you manage it. In this book, you discover types of machine learning techniques, models, and algorithms that can help achieve results for your company. This information helps both business and technical leaders learn how to apply machine learning to anticipate and predict the future. You will find topics like: - What is machine learning? - Explaining the business imperative - The key machine learning algorithms - Skills for your data science team - How businesses are using machine learning - The future of machine learning
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IBM APAC
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