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Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
"Extracting value from data is central to the digital transformation required for businesses to succeed in the decades to come. Buried in data are insights that reveals what your customers need and how they want to receive it, how sales, manufacturing, distribution, and other aspects of business operations are functioning, what risks are arising to threaten the business, and more. That insight empowers your businesses to reach new customers, develop and deliver new products, to operate more efficiently and more effectively, and even to develop new business models. "
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Hewlett Packard Enterprise
Published By: Lenovo - APAC     Published Date: Jan 23, 2019
For Japan’s largest medical equipment wholesaler, Mutoh, ensuring its 300,000 products reach hospitals, clinics and health-centres on time is an imperative. Someone’s life depends on it. Without IT that wouldn’t be possible. But Mutoh’s IT infrastructure was unable to keep pace with the demands of the business. Every time an order came in, Mutoh had to pull data from different systems across multiple servers which was time-consuming. It needed an IT infrastructure that was fast, high-performing, reliable, stable, and flexible. Mutoh turned to Lenovo’s hyperconverged infrastructure that helped the company achieve: • The ability to seamlessly extract data from different systems across multiple physical servers helped Mutoh respond to customer orders as quickly as possible, thereby saving lives • A modular hyperconverged solution allowed Mutoh to invest on a need basis, improving ROI and addressing spikes in customer demand
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Lenovo - APAC     Published Date: Jan 23, 2019
For Japan’s largest medical equipment wholesaler, Mutoh, ensuring its 300,000 products reach hospitals, clinics and health-centres on time is an imperative. Someone’s life depends on it. Without IT that wouldn’t be possible. But Mutoh’s IT infrastructure was unable to keep pace with the demands of the business. Every time an order came in, Mutoh had to pull data from different systems across multiple servers which was time-consuming. It needed an IT infrastructure that was fast, high-performing, reliable, stable, and flexible. Mutoh turned to Lenovo’s hyperconverged infrastructure that helped the company achieve: • The ability to seamlessly extract data from different systems across multiple physical servers helped Mutoh respond to customer orders as quickly as possible, thereby saving lives • A modular hyperconverged solution allowed Mutoh to invest on a need basis, improving ROI and addressing spikes in customer demand
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: Oracle     Published Date: Nov 28, 2017
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
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Oracle
Published By: OpenText     Published Date: Mar 02, 2017
Watch this webinar with IDC supply chain experts to learn how embedded analytics can provide deeper supply chain intelligence and help you extract maximum value from data for your supply chain operations.
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idc webinar, analytics, supply chain intelligence, supply chain operations
    
OpenText
Published By: AWS     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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AWS
Published By: Cisco     Published Date: Jun 21, 2016
Adversaries and defenders are both developing technologies and tactics that are growing in sophistication. For their part, bad actors are building strong back-end infrastructures with which to launch and support their campaigns. Online criminals are refining their techniques for extracting money from victims and for evading detection even as they continue to steal data and intellectual property.
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Cisco
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Defining the Data Lake “Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
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Amazon Web Services
Published By: HPE APAC     Published Date: Feb 23, 2017
Read this extract and the full reports to find out people's perceptions regarding hyperconverged infrastructure and includes overall IT challenges, sentiment around the technology and an in-depth look at key uses cases that are supported by the technology.
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hyperconverged infrastructure, data center, storage, it challenges
    
HPE APAC
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
    
IBM APAC
Published By: Akamai     Published Date: Jun 04, 2010
Predictive analytics have been used by different industries for years to solve difficult problems that range from detecting credit card fraud to determining patient risk levels for medical conditions. It combines data mining and machine-learning technologies to create statistical models based on historical data. It then uses these models to predict future events. Extracting the power from the data requires powerful algorithms behind predictive analytics.
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akamai, predictive, online advertising, tracking pixels, online shopping, in-market, site visitors, performance marketing
    
Akamai
Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
As organizations seek to extract more strategic value from their data, many are starting to view data governance as an enabler of insight rather than an impediment to its creation. This report explores a leading approach to data governance and the impact it can have on today’s most data-rich organizations.
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data governance, data-rich organizations
    
Group M_IBM Q1'18
Published By: Pure Storage     Published Date: Jan 12, 2018
Interest in machine learning has exploded over the past decade. You see machine learning in computer science programs, industry conferences, and the Wall Street Journal almost daily. For all the talk about machine learning, many conflate what it can do with what they wish it could do. Fundamentally, machine learning is using algorithms to extract information from raw data and represent it in some type of model. We use this model to infer things about other data we have not yet modeled. Neural networks are one type of model for machine learning; they have been around
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learning machines, automated intelligence, scalars, vectors, mathematics, classification, pure storage
    
Pure Storage
Published By: BMC Software     Published Date: May 28, 2014
Learn how BMC Control-M for for Hadoop allows IT to extract value from big data, with clear visibility, predictability and increased productivity and efficiency.
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it management, enterprise applications
    
BMC Software
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
Published By: Lenovo - APAC     Published Date: Jan 23, 2019
For Japan’s largest medical equipment wholesaler, Mutoh, ensuring its 300,000 products reach hospitals, clinics and health-centres on time is an imperative. Someone’s life depends on it. Without IT that wouldn’t be possible. But Mutoh’s IT infrastructure was unable to keep pace with the demands of the business. Every time an order came in, Mutoh had to pull data from different systems across multiple servers which was time-consuming. It needed an IT infrastructure that was fast, high-performing, reliable, stable, and flexible. Mutoh turned to Lenovo’s hyperconverged infrastructure that helped the company achieve: • The ability to seamlessly extract data from different systems across multiple physical servers helped Mutoh respond to customer orders as quickly as possible, thereby saving lives • A modular hyperconverged solution allowed Mutoh to invest on a need basis, improving ROI and addressing spikes in customer demand
Tags : 
lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Lenovo - APAC     Published Date: Jan 23, 2019
For Japan’s largest medical equipment wholesaler, Mutoh, ensuring its 300,000 products reach hospitals, clinics and health-centres on time is an imperative. Someone’s life depends on it. Without IT that wouldn’t be possible. But Mutoh’s IT infrastructure was unable to keep pace with the demands of the business. Every time an order came in, Mutoh had to pull data from different systems across multiple servers which was time-consuming. It needed an IT infrastructure that was fast, high-performing, reliable, stable, and flexible. Mutoh turned to Lenovo’s hyperconverged infrastructure that helped the company achieve: • The ability to seamlessly extract data from different systems across multiple physical servers helped Mutoh respond to customer orders as quickly as possible, thereby saving lives • A modular hyperconverged solution allowed Mutoh to invest on a need basis, improving ROI and addressing spikes in customer demand
Tags : 
lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Dun & Bradstreet     Published Date: Oct 21, 2016
Companies are looking to their CFOs for strong leadership in developing corporate strategies and achieving growth. CFOs can meet these rising expectations by leveraging their knowledge of corporate data to extract valuable insights about customers, suppliers, partners and other stakeholders. Supported by analytics, CFOs can help their companies create a global, unified and clear view of their many relationships with customers and others to guide intelligent risk-taking and thoughtful investment—both necessary catalysts for growth. This capability will also enable the company, particularly its sales and marketing functions, to move faster and adapt more quickly to changing conditions. The 21st-century CFO is not only concerned with controlling costs and minimizing risk, but also with maximizing opportunities and generating growth. The right foundational technologies and organizational processes for data-driven decision making can help them achieve all of these strategic goals.
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Dun & Bradstreet
Published By: Hitachi Vantara     Published Date: Mar 20, 2018
Digital transformation is disrupting traditional, tried-and-true business process and leaving many enterprises scrambling for alternatives. Although the customer remains king for business success, data is quickly becoming an organization’s most strategic asset for reaching, interacting with and retaining customers. With ransomware attacks on the rise, a strict regulatory environment, and nimble, competitive upstarts entering the market, protecting and extracting value from your most strategic asset is a business imperative — and a formidable challenge.
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Hitachi Vantara
Published By: EMC Corporation     Published Date: Jul 07, 2013
While the concept of big data is nothing new, the tools and technology and now in place for companies of all types and sizes to take full advantage. Enterprises in industries such as media, entertainment, and research and development have long been dealing with data in large volumes and unstructured formats - data that changes in near real time. However, extracting meaning from this data has been prohibitive, often requiring custom-built, expensive technology. Now, thanks to advancements in storage and analytics, all organizations can leverage big data to gain the insight needed to make their businesses more agile, innovative, and competitive.
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big data, emc, technology, storage, analytics, data management, security, knowledge management, platforms, business technology
    
EMC Corporation
Published By: EMC Corporation     Published Date: Feb 13, 2015
Clutch Group provides litigation, compliance, and legal services to major Fortune 500 companies in sectors with large legal exposure (Finance, Life Sciences, Natural Resources, etc.). By using purpose-built technology solutions to extract deep insights from large data volumes, the company transformed its business approach of helping client firms make better legal decisions.
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all-flash-array, purpose-built technology, large data volumes, business approach, legal decisions, data management
    
EMC Corporation
Published By: Rosetta Stone     Published Date: May 31, 2012
What's the biggest difference between mediocre and exceptional companies? Employees. People are ultimately responsible for the vision, ideas, products and day-to-day work that make a company great. These high-performing organisations continue to extract more value from their people because they think of them as long-term, strategic resources with the capacity to improve and adapt to the changing needs of the business.
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training, employees, business, rosetta stone, training programs, employee programs
    
Rosetta Stone
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