data and analytics

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Published By: TIBCO Software     Published Date: Aug 20, 2019
TIBCO Data Virtualization is a proven approach used by four of the top five integrated energy companies to deliver more analytic data sooner from across upstream and downstream operations. Specific use cases described include: •? Offshore Platform Data Analytics •? Well Maintenance and Repair •? Cross Refinery Web Data Services •? SAP Master Data Quality If you are an energy company facing similar data and analytic challenges, consider TIBCO Data Virtualization.
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TIBCO Software
Published By: SAS     Published Date: Aug 19, 2019
With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective. Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care. By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
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SAS
Published By: Dell EMC Storage     Published Date: Aug 15, 2019
The digital era has ushered in a proliferation of data that powers modern businesses. When leveraged properly, organizations are seeing the potential of data to drive better outcomes across all aspects of their business. Using data to support different workflows, analytics, and activities transforms it into data capital — a digital asset that will drive value for the business. The extent to which an enterprise aligns its organization around this data capital mindset — in both the way they use data and the way they invest in data technology — can have lasting impacts on the success of the business. In February 2019, Dell EMC and Intel commissioned Forrester Consulting to evaluate whether the ability to harness and apply data and analytics at every opportunity is fast becoming a prerequisite for success. To test this, Forrester conducted a global survey of 516 IT decision makers. The survey found that companies with more mature data capital practices — leveraging more data types, managin
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Dell EMC Storage
Published By: Dell EMC Storage     Published Date: Aug 15, 2019
The digital era is changing the way that organizations think about, protect, and monetize data. Now more than ever they are pushing to be digitally-driven, and to achieve this they must be data-driven. Data powers everything in modern organizations; analytics, digital experiences, IoT, and artificial intelligence are notable examples. All are essential to organizations that want to succeed in a digitally transformed world, but they simply cannot function without data. This is driving the shift from data as a static digital asset to data as a strategic business asset.
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Dell EMC Storage
Published By: Cohesity     Published Date: Aug 09, 2019
An Italian bank with an appetite for innovation and infrastructure standardization, automated, and cloud-ready Cohesity Data platform. In two years, the organization has simplified its secondary stage environment with a single data management pane to improve backup SLAs, cut costs, and deliver up-to-date and relevant data for test & dev and analytics teams at scale to test fast, fail fast, and innovate fast.
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Cohesity
Published By: Cisco Umbrella EMEA     Published Date: Aug 09, 2019
"We live and surf in a cyber world where attacks like APT, DDOS, Trojans and Ransomware are common and easy to execute. Domain names are an integral part of any business today and apparently an integral part of an attacker's plan too. Domain names are carriers of malwares, they act as Command and Control servers and malware's ex-filtrate data too. In today's threat landscape - predicting threats, spotting threats and mitigating them is super crucial.. This is called Visibility and Analytics. Watch this on demand session with our Cisco cloud security experts Shyam Ramaswamy and Fernando Ferrari as they talk about how Cisco Umbrella and The Umbrella Research team detect anomalies, block threats and identify compromised hosts. The experts also discuss how effectively Cisco spot, react, filter out IOC, block the network communications of a malware; identify and stop a phishing campaign (unknown ones too). "
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Cisco Umbrella EMEA
Published By: Artemis Health     Published Date: Aug 08, 2019
Consultants and advisors are on the front lines of benefits data analytics. They’re the folks who dig through thousands of rows in a spreadsheet to surface problems and find solutions. In this whitepaper, we’ll dive deep on the advantages consultants offer to employers: • Access to data analytics, trend analysis, and program measurement • The expertise to identify, track, and take action on chronic conditions in a member population • The industry insight into public policy and regulation changes
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Artemis Health
Published By: SAS     Published Date: Aug 06, 2019
With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective. Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care. By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
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SAS
Published By: AWS     Published Date: Aug 06, 2019
Old-guard database providers are expensive, proprietary, have high lock-in costs, and impose restrictive licensing terms. The challenge to date has been to achieve the same performance and availability of commercial-grade databases on open source databases such as MySQL, PostgreSQL, and MariaDB. Examine key considerations that go into any database migration decision and specific use cases—in Financial Services and Healthcare Analytics implementations—where Datavail carefully managed database migrations from traditional database providers to the cloud—and in particular Amazon Aurora. Download the eBook to learn about: Migration considerations and strategies including lift and shift, re-platforming, and re-factoring Security and compliance functionality enabled by Amazon Aurora Performance and scalability opportunities enabled by AWS
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AWS
Published By: Google     Published Date: Aug 05, 2019
"Agile BI requires more than just agile dashboards. True agility means prototyping data models quickly so business users can continuously iterate on them. Application development and delivery professionals working on BI initiatives should consider adding DWA platforms to their BI toolbox. This Forrester report discusses how seven data warehouse automation vendors bring Agile options to all phases of BI/analytics application development. Read more to find out how these platforms help facilitate shorter development cycles."
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data warehouse automation, forrester, agile solutions, business intelligence, analytics
    
Google
Published By: Google     Published Date: Aug 05, 2019
As organizations continue to produce vast quantities of data, they increasingly need platforms that allow them to analyze, store, and extract meaningful insights from that data. Gartner helps data and analytics leaders evaluate 19 vendors in an increasingly split market. Download the Gartner Magic Quadrant report and find out more.
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data management, database solutions, databases, enterprise database, managed database
    
Google
Published By: Juniper Networks     Published Date: Jul 31, 2019
As modernized data centers scale up and out, there is a strong potential for growing complexity as well. IT teams need to be vigilant in simplifying architectures and operations as the technological landscape changes. While the potential of monitoring and analytics in your data center is huge, to take advantage, you'll need an architecture that can handle shifting traffic patterns. In this expert eGuide, you'll discover three ways of simplifying architectures, and how they can help you reduce complexity, improve workforce efficiency, and ease administration.
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cloud providers, cloud provisioning, cloud services, data centre, data centre provider
    
Juniper Networks
Published By: Workday     Published Date: Jul 30, 2019
When your organization moves quickly to drive growth and profitability, you can risk missing business targets due to inaccurate data, gaps in processes, and limited visibility into real-time metrics and analytics. Download the report to learn how you can get the most out of your data.
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Workday
Published By: RMS     Published Date: Jul 25, 2019
U.S. Flood is a high-gradient, intricate peril incorporating various sources, and causing a variety of effects. It requires sophisticated models, data science, and analytics technology to properly understand and assess each risk.
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RMS
Published By: SAS     Published Date: Jul 22, 2019
Text is the largest human-generated data source. It grows every day as we post on social media, interact with chatbots and digital assistants, send emails, conduct business online, generate reports and essentially document our daily thoughts and activities using computers and mobile devices. Increasingly, organizations want to know how all of that data can be used to drive improvements. For many, unstructured text represents a massive untapped data source with great potential for producing valuable insights that could result in significant business transformations or spur incredible social innovation. This paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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SAS
Published By: TIBCO Software     Published Date: Jul 22, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Today, you can improve product quality and gain better control of the entire manufacturing chain with data virtualization, machine learning, and advanced data analytics. With all relevant data aggregated, analyzed, and acted on, sensors, devices, people, and processes become part of a connected Smart Factory ecosystem providing: •? Increased uptime, reduced downtime •? Minimized surplus and defects •? Better yields •? Reduced cost due to better quality •? Fewer deviations and less non-conformance
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Global producer of polycrystalline silicon for semiconductors, Hemlock Semiconductor needed to accelerate process optimization and eliminate cost. With TIBCO® Connected Intelligence, Hemlock achieved centralized, self-service, governed analysis; revenue gains; cost savings; and more. Fueled by double-digit growth in the markets it serves, Hemlock Semiconductor is adapting to the increasing commoditization within the polysilicon industry and better positioning itself to compete. A key factor in this plan is to equip process-knowledgeable personnel with the skills and tools to accelerate delivery of process optimizations and associated cost elimination. Hemlock turned to a TIBCO® Connected Intelligence solution to address the challenges. By implementing TIBCO Spotfire® and TIBCO® Streaming analytics, TIBCO® Data Science, and TIBCO® Data Virtualization, the company created more self-service analytics. Adding TIBCO BusinessWorks™ integration let the company realize the vision of connect
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TIBCO Software
Published By: Flexential     Published Date: Jul 17, 2019
In a data environment that’s become increasingly centralized by public cloud services, the “edge” is emerging as a critical solution for reducing latency for network-based services. Consumption habits of services and the need for analytics are shifting beyond core population centers, becoming local and even hyper-local within a region or city. As the online population continues to grow and new services emerge, the ability to handle data traffic securely – close to the customer or application – will become a common pattern for the new service evolution.
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Flexential
Published By: Adobe     Published Date: Jul 15, 2019
With an ever-growing array of customer interactions, especially digital, businesses are rapidly looking to gain competitive advantage by using data and insights at scale to create and activate 360-degree profiles of their customers to deliver a better experience. In a rush to accelerate digital growth and improve their business strategies, many global enterprises have built soiled, redundant technology environments, resulting in inaccurate, or worse, conflicting views of their customer's brand interactions. For example, Forrester's research reveals that 90% of enterprises use multiple analytics tools.
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Adobe
Published By: Simba by Magnitude     Published Date: Jul 12, 2019
Today’s C-level executives expect data and analytics to provide them with speed and agility to deliver competitive advantage and to disrupt new markets. But, in today’s complex data environment exists a near paradox between these expectations, that companies will be able to rapidly deliver value using data and analytics--and the complexities of the data landscape, making it more difficult to find, govern, connect to and access the data needed to deliver that value. Once thing is clear: if management expectation is to be met, simplifying connectivity is a must.In this white paper, veteran analyst Mike Ferguson, Managing Director of Intelligent Business Strategies explores how simplifying data access –connectivity –aligns expectations with data realities thus decreasing time to value.
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Simba by Magnitude
Published By: Pure Storage     Published Date: Jul 03, 2019
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifi cally to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artificial intelligence within the Financial Services industry, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: SAS     Published Date: Jun 27, 2019
In the quest to understand how a therapeutic intervention performs in actual use – in real medical practice outside the controlled environment of clinical trials – many life sciences organizations are stymied. They rely on one-off processes, disconnected tools, costly and redundant data stores, and ad hoc discovery methods. It’s time to standardize real-world data and analytics platforms – to establish much-needed consistency, governance, repeatability, sharing and reuse. The organizations that achieve these goals will formalize their knowledge base and make it scalable, while significantly reducing turnaround times, resources and cost. Learn the seven key components for putting that structure to real-world evidence – and four ways to take it to the next level.
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SAS
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