accelerate analytics

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Hemlock Semiconductor Manufactures Success with TIBCO Connected Intelligence

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

2019 Gartner Magic Quadrant for Data & Analytics service Providers, Worldwide

Published By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
IBM has been named a Leader in Gartner's Magic Quadrant for Data & Analytics Services. According to the report, by 2022, 90% of corporate strategies are expected to view information as a critical enterprise asset, and analytics as an essential competency. Data and analytics service providers can help leaders accelerate and transform their ability to deliver data-driven insights and innovation solutions to businesses. Get complimentary access to Gartner's latest Magic Quadrant report for Data & Analytics Service Providers.
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Group M_IBM Q4'19

Gigamon / Splunk – Accelerate Threat Detection and Response

Published By: Gigamon     Published Date: Oct 25, 2017
Read the Joint Solution Brief Accelerate Threat Detection and Response to learn how Gigamon helps Splunk Enterprise users effectively analyze and remediate network security threats. Benefits include enhanced visibility and deeper, faster security analytics from precise, targeted network metadata generated from the traffic flowing in your network. Also learn how automation of common security tasks, across the Gigamon platform and third-party security tools, from within the Splunk platform helps increase analyst efficiency and reduce errors.
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Gigamon

The Smarter Way to Manage Data

Published By: Oracle EMEA     Published Date: Apr 15, 2019
Oracle Autonomous Data Warehouse Cloud is more than just a new way to store and analyze data; it’s a whole new approach to getting more value from your data. Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge. Data warehouses remain at the heart of these business intelligence (BI) initiatives, but traditional data-warehouse projects are complex undertakings that take months or even years to deliver results. Relying on a cloud provider accelerates the process of provisioning data-warehouse infrastructure, but in most cases database administrators (DBAs) still have to install and manage the database platform, then work with the line-of-business leaders to build the data model and analytics. Once the warehouse is deployed—either on premises or in the cloud—they face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets. Oracle has a better way. Download this whitepaper to f
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Oracle EMEA

Streamlining all-flash transformation

Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2018
Forward-looking organizations are looking to next-generation all-flash storage platforms to eliminate storage cost and performance barriers. Advancements in all-flash technology have led to remarkable priceperformance improvements in recent years. The latest all-flash solutions from HPE deliver breakthrough economics, speed and simplicity, while improving availability and data durability. All-flash storage can help you reduce TCO and boost the performance of traditional applications as well as accelerate the rollout of new initiatives like IoT, big data and analytics. But moving data to a new storage architecture introduces a variety of organizational and technical challenges.
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Hewlett Packard Enterprise

The Most Advanced Systems for Cloud and Scale-out: SPARC S7

Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Hear Masood Heydari, SVP of SPARC Engineering, discuss details of Oracle's servers designed for cloud and scale-out, which provide security by default, better core efficiency for cloud apps, and accelerate data analytics at X86 commodity cost points
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Oracle PaaS/IaaS/Hardware

Accelerate Your Analytics Game With Oracle® Solutions On Pure Storage

Published By: Pure Storage     Published Date: Nov 02, 2017
To stay relevant in today’s competitive, digitally disruptive market, and to stay ahead of your competition, you have to do more than just store, extract, and analyze your data — you have to draw the true business value out of it. Fail to evolve, and your organization might be left behind as companies ramp up and speed up their competitive, decision-making environments. This means deploying cost-effective, energy-efficient solutions that allow you to quickly mine and analyze your data for valuable information, patterns, and trends, which in turn can enable you to make faster ad-hoc decisions, reduce risk, and drive innovation.
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storage solutions, pure storage, oracle, analytics, business value, innovation, risk reduction
    
Pure Storage

WP – Digital Transformation

Published By: Gigamon     Published Date: Jun 21, 2019
Accelerate your digital transformation journey by giving teams and tools the application visibility needed to monitor and secure modern digital applications. Download this whitepaper to learn how you can Isolate and extract application and component traffic across multiple tiers for monitoring, Provide application metadata to analytics tools, enabling faster detection of customer experience, application performance and security-related issues and send only relevant traffic to the appropriate tools to reduce load and increase effectiveness.
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Gigamon

A Discussion With Pure Storage’s Brian Gold on Big Data Analytics for Apache Spark

Published By: Pure Storage     Published Date: Oct 09, 2018
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude
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Pure Storage

Becoming a Cognitive Business with IBM Analytics

Published By: IBM     Published Date: Apr 22, 2016
This white paper explains the value of putting data and insight to work to accelerate an organization’s journey to becoming a Cognitive Business, by enhancing their investments in data and analytics and realizing new opportunities from cognitive systems that understand, reason and learn.
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ibm, ibm analytics, cognitive business, watson, think data, knowledge management, enterprise applications, data management, business technology
    
IBM

Bridging to the Cloud: The Right Database Can Make the Difference

Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18

FPGA-as-a-Service: A Guide for CSPs

Published By: Intel     Published Date: Apr 16, 2019
The data center is coming under immense pressure. The boom in connected devices means increasing volumes of data – and all that needs processing. One way for CSPs to accelerate customer workloads is by using FPGAs, which are easier to use than ever before. Download Intel's latest eGuide, ‘FPGA-as-a-Service: A Guide for CSPs' to discover: • How to add FPGAs to the data center • The structure of the Intel® Acceleration Stack for FPGAs • Adding off-the-shelf accelerator functions • How FPGAs can accelerate many cloud services, such as database as a service and analytics as a service
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Intel

Five Steps to Getting Started with Workforce Analytics

Published By: Visier     Published Date: Nov 04, 2014
Read an industry report or blog post on hot HR trends and technologies today, and you are bound to see workforce analytics near the top. Analysts and commentators agree: workforce analytics has become a “must have” tool for HR and a key component of delivering business value. But how do you get started with this complex topic? By thinking through the first four steps, you can develop the requirements to support the fifth step: selecting the right workforce analytics solution for your organization. Download this white paper, Five Steps to Getting Started with Workforce Analytics, to find out how you can simplify and accelerate your journey from HR metrics to workforce analytics.
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visier, workforce analytics, hr metrics, planning
    
Visier

On Premise Business Intelligence Solutions from SAP: Statement of Direction

Published By: SAP     Published Date: Jul 18, 2016
As your business transitions to a digital enterprise, you can start to give your employees, partners, and customers immediate, data-driven, and even predictive insight into what’s going on – in a way that’s relevant for them. Strategic use of on premise and cloud-based analytics accelerates this process. Read the solution brief to see how SAP is continuing to invest in on premise solutions as part of their effort to reimagine analytics.
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SAP

Engaging in the age of the customer

Published By: IBM     Published Date: Nov 10, 2016
Are you aware of the ongoing dialog about your products and services? Are you participating? Recent surveys show that organizations that deliver good customer experiences are reaping greater revenues than those that don’t. Yet companies are struggling to pivot towards the customer, because it often requires a complete overhaul of management, culture and technologies. This session will show how to defeat content chaos, streamline and accelerate onboarding and service processes, minimize friction with customers, use analytics to anticipate and prepare for customer needs, and give your front-line people the tools they need to offer a superior experience that will grow your revenues and generate great word of mouth.
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ibm, analytics, ecm, engagement, customer, enterprise applications, business technology
    
IBM

Applying Data Virtualization: 13 Use Cases that Matter

Published By: TIBCO Software     Published Date: Feb 13, 2019
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by: Identifying key requirements Showing how you can apply TIBCO® Data Virtualization to address these needs Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
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TIBCO Software

Whitepaper: The Spotfire A(X) Experience: The Future of Analytics is Now

Published By: TIBCO Software     Published Date: Feb 14, 2019
With the new TIBCO Spotfire® A(X) Experience, we are revolutionizing analytics and business intelligence. This new platform accelerates the personal and enterprise analytics experience so you can get from data to insights in the fastest possible way. With the fusion of technology enablers like machine learning, artificial intelligence, and natural language search, the Spotfire® X platform redefines what’s possible for analytics and business intelligence, simplifying for everyone how data and insights are generated, consumed, and acted on. Download this whitepaper to learn more, then check out the new Spotfire analytics. It’s unlike anything you have ever seen. Simple, yet powerful, it changes everything.
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TIBCO Software

Applying Data Virtualization: 13 Use Cases that Matter

Published By: TIBCO Software     Published Date: Feb 14, 2019
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by: Identifying key requirements Showing how you can apply TIBCO® Data Virtualization to address these needs Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
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TIBCO Software

IBM Integrated Analytics System: Do Data Science Faster

Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated. The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to: • Harness exponential data growth as well as semistructured and unstructured data • Aggregate disparate data across your organization, whether on-premises or in the cloud • Support the analytics needs of your data scientists, line of business owners and developers • Minimize difficulties in developing and deploying even the most advanced analytics workloads • Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance
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Group M_IBM Q3'19

The Practical Guide to Managing Data Science at Scale

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

Driving SAP Performance with Amazon EC2 X1 and X1e Instances and Intel® Xeon Processors

Published By: Amazon Web Services     Published Date: Apr 16, 2018
Since SAP introduced its in-memory database, SAP HANA, customers have significantly accelerated everything from their core business operations to big data analytics. But capitalizing on SAP HANA’s full potential requires computational power and memory capacity beyond the capabilities of many existing data center platforms. To ensure that deployments in the AWS Cloud could meet the most stringent SAP HANA demands, AWS collaborated with SAP and Intel to deliver the Amazon EC2 X1 and X1e instances, part of the Amazon EC2 Memory-Optimized instance family. With four Intel® Xeon® E7 8880 v3 processors (which can power 128 virtual CPUs), X1 offers more memory than any other SAP-certified cloud native instance available today.
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Amazon Web Services

Accelerated Data Blending and Analytics for Microsoft PowerBI

Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download now and learn how Alteryx and Microsoft Power BI help accelerate data blending and advanced analytics consumption for everyone in your organization.
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Alteryx, Inc.

Data: the New Disruptor

Published By: Hitachi Vantara     Published Date: Jan 11, 2019
Making sense of your data is one of the greatest challenges facing business today. Imagine a world where innovation and time-to-value are accelerated by AI and automation. Hitachi Vantara works at every point along the data value chain from analytics and insight, through intelligent governance to efficient, agile storage. Download this e-book to find out how to turn the business-enabling capital of the digital era into sustainable value.
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Hitachi Vantara

11 Sales Enablement KPIs for Marketing Leaders

Published By: Seismic     Published Date: May 14, 2019
Imagine being able to walk into a meeting and say, “this is what our content has done to accelerate deals, the amount of revenue it has affected, and the ROI of our overall content strategy.” Every marketer dreams about proving ROI and the Information Age has finally made it possible for marketing teams to get concrete numbers on the success of various campaigns. But with all the data out there, how do marketers know which KPIs provide the best insight into the health and success of their marketing activities? Download the guide to learn: ? The top KPIs for improving internal marketing efficiency ? The content engagement analytics that prove value ? How to have better visibility into what content sales uses most often
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Seismic

The Total Economic Impact of Adobe Analytics & Adobe Audience Manager

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
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