Cookie policy: This site uses cookies (small files stored on your computer) to simplify and improve your experience of this website. Cookies are small text files stored on the device you are using to access this website. For more information on how we use and manage cookies please take a look at our privacy and cookie policies. Some parts of the site may not work properly if you choose not to accept cookies.

sections
 

competitive data

Results 26 - 50 of 269Sort Results By: Published Date | Title | Company Name
Published By: SAS     Published Date: Apr 21, 2015
To maintain competitive advantage, your BI solution should allow business users to quickly and easily investigate and interrogate the data to find out why something happened – to uncover the root cause behind the “what.”
Tags : 
    
SAS
Published By: SAS     Published Date: Apr 25, 2017
But if you can’t explain how you got the answer, or what it means, it’s no good. Most self-service BI solutions can only display what has already happened, through reports or dashboards. And most have a predefined path of analysis that gives users very little creative freedom to explore new lines of thought. To maintain competitive advantage, your BI solution should allow business users to quickly and easily investigate and interrogate the data to find out why something happened – to uncover the root cause behind the “what.”
Tags : 
    
SAS
Published By: SAS     Published Date: Mar 06, 2018
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and analytics. And you can do it through an interface that anyone can use. At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days. Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
Tags : 
    
SAS
Published By: IBM     Published Date: Jul 02, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
Tags : 
    
IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
Tags : 
    
Group M_IBM Q418
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
Tags : 
    
Group M_IBM Q418
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
Tags : 
    
Group M_IBM Q119
Published By: Schneider Electric     Published Date: Aug 15, 2017
In today’s world of being “on” 24/7, data centers are at the core of business and viewed as the way to create competitive differentiation. Speed, efficiency, flexibility, and scale are now critical for winning the race to meet new connectivity and processing demands caused by the Internet of Things (IoT) and Big Data.
Tags : 
planning process, reference designs, cost analysis, design, site selection, schneider, electric
    
Schneider Electric
Published By: Pure Storage     Published Date: Jul 03, 2019
Financial services businesses face unprecedented market challenges. Disruption from Fintech firms, increased local and international regulation, geo- political upheavals and wavering customer loyalty. The need to fully understand the market, to innovate, to reduce costs and be more competitive has never been greater, and this is where AI can help. According to one fintech research company, by 2030 the financial services sector could reduce operational costs using AI, by as much as 22%. It suggests that will equate to around $1 trillion in efficiencies. So, from a purely operational point of view, doing nothing is not really an option for companies that want to remain competitive. Today, financial services firms across the board need to rejuvenate customer experience to protect against client attrition, and protect those customers against risk. While data analysis and visualization are key to making sense of data, the fundamental challenge for all businesses is building an infrastructur
Tags : 
    
Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights for the massive amounts of data. Many organization are now using AI for leading-edge research or as a competitive advantage. This Datanami white paper not only covers the societal impacts of deep learning, but it also discusses why traditional storage can't meet deep learning needs and how having the right data hub can help deliver data throughput for AI.
Tags : 
    
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.
Tags : 
storage solutions, pure storage, oracle, analytics, business value, innovation, risk reduction
    
Pure Storage
Published By: FICO EMEA     Published Date: Feb 11, 2019
The automotive leasing and financing industry is facing its most competitive times. Market disruptors are moving quickly, leveraging technology to provide polished and high-value customer experiences to lure business away from more traditional lenders. However, the use of smart technology and automated credit decisioning can enable auto lenders to make accurate lending decisions and gain a competitive edge. Learn how you can: • Issue accurate and immediate credit financing decisions at the point of sale • Reduce delinquencies and credit losses • Grow your lending portfolio • Create winning offers using data and analytics • Speed up credit decisions to prospects and stay competitive • Use smart analytics to enhance the customer service experience Download the case study round up Digital Transformation for Automotive Finance to learn how you can transform your business.
Tags : 
collections treatment optimisation, customer retention, lending decision, collection optimisation, debt managemen, auto leasing financing, automated credit decisioning
    
FICO EMEA
Published By: IBM     Published Date: Jun 08, 2017
The healthcare payer ecosystem in the United States has changed dramatically over the last decade and is expected to evolve at an even faster pace over the next few years. Many world-class companies involved in healthcare payment processing are finding themselves constrained by their existing information technology infrastructure. The silos that they built around business-to-business (B2B) processing are constraining them, making it difficult to achieve governmental mandates and (more importantly) increase processing efficiency and competitive advantage. Gone are the days of a small set of data following static and simple standards traded between a limited set of organizations. Gone are the days where the rules for when data is valid versus invalid can expressed in a paragraph or two. Gone are the days when information about a healthcare payment was almost entirely about the "who," "when," and "how much."
Tags : 
hipaa, healthcare, b2b, organizational strategy, affordable care
    
IBM
Published By: Clustrix     Published Date: Sep 04, 2013
Online advertising is a highly competitive and innovative market being driven to new levels by the rise of ad exchanges, real-time bidding alongside traditional ad networks. With advertisers increasingly buying one impression at a time, advertising market growth is soaring. If your database is the bottleneck limiting the growth of your advertising business, this is the white paper for you. Find out how Clustrix will give you access to functionality, such as ad segmentation and targeting based on up-to-the minute campaign performance, as well as instant access to smart data, so your clients can make the right buy decisions. This free whitepaper considers the technical challenges this rise presents for the database, and discusses the unique technology that enables Clustrix to solve these challenges and give your advertising business a competitive advantage.
Tags : 
technology, clustrix, online advertising, real time bidding, database, analytics, it management
    
Clustrix
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
If your business is like most, you are grappling with data storage. In an annual Frost & Sullivan survey of IT decision-makers, storage growth has been listed among top data center challenges for the past five years.2 With businesses collecting, replicating, and storing exponentially more data than ever before, simply acquiring sufficient storage capacity is a problem. Even more challenging is that businesses expect more from their stored data. Data is now recognized as a precious corporate asset and competitive differentiator: spawning new business models, new revenue streams, greater intelligence, streamlined operations, and lower costs. Booming market trends such as Internet of Things and Big Data analytics are generating new opportunities faster than IT organizations can prepare for them.
Tags : 
    
Hewlett Packard Enterprise
Published By: HPE APAC     Published Date: Jun 16, 2017
Read this white paper to find out more about data center modernization.
Tags : 
    
HPE APAC
Published By: NexGen     Published Date: Feb 09, 2015
The nature of the financial services industry places a myriad of international compliance requirements on a company's IT team, as well as an expectation by its customers to deliver the high test levels of performance and reliability. To survive and thrive, businesses in the industry must not only keep pace with customer demand but gain competitive advantage. Those demands mean the IT team must be at the forefront of adopting emerging technologies. This is certainly true for Orangefield Columbus, who recently experienced significant growth in its multiple databases which led to the serious performance degradation of its existing storage system. By focusing on a proactive data management storage array, Orangefield was able to eliminate resource contention. Download now and examine Orangefield's journey to find a solution that would meet, and exceed, their performance and capacity requirements.
Tags : 
nexgen, vmware, citrix, flash, financial services, it management
    
NexGen
Published By: Box     Published Date: Jan 16, 2015
The nature of the financial services industry places a myriad of international compliance requirements on a company's IT team, as well as an expectation by its customers to deliver the high test levels of performance and reliability. To survive and thrive, businesses in the industry must not only keep pace with customer demand but gain competitive advantage. Those demands mean the IT team must be at the forefront of adopting emerging technologies. This is certainly true for Orangefield Columbus, who recently experienced significant growth in its multiple databases which led to the serious performance degradation of its existing storage system. By focusing on a proactive data management storage array, Orangefield was able to eliminate resource contention. Download now and examine Orangefield's journey to find a solution that would meet, and exceed, their performance and capacity requirements.
Tags : 
nexgen, vmware, citrix, flash, financial services, it management
    
Box
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
Tags : 
customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: Epson     Published Date: May 14, 2018
Consumers worldwide continue to adopt and use technology in their shopping experience. Faced with rising customer expectations and increasing competitive pressures, retailers now are prioritizing in-store innovation. Many retailers have adopted multichannel implementations, in which mobile, web, and in-store shopping are enabled but not delivered consistently to the customer. The next step in this evolution is an omnichannel strategy, now being deployed by some retailers, which presents a consistent shopping experience across mobile, web, and in-store channels. Omnichannel also enables retailers to integrate back-end infrastructure technologies (e.g., servers, databases, etc.) and cloud-based services (e.g., loyalty programs, personalized recommendations, inventory management, etc.) to improve many aspects of store and enterprise operations. An omnichannel strategy relies on several core and supporting technologies. The key factors in evaluating any omnichannel-enabling solution includ
Tags : 
    
Epson
Published By: IBM     Published Date: May 26, 2017
Business executives and managers at business-to-business (B2B) enterprises care about time, money, competitive advantage, customer loyalty and growth. Few pay much attention to the vital IT infrastructure that supports transactions and collaboration with trading partners—though that B2B backbone directly affects performance and profitability. In fact, just 26 percent of business managers view B2B integration as a competitive differentiator, according to a study for IBM by Vanson Bourne, a research consultancy. As a result, many enterprises continue to utilize manual and error-prone emails, faxes and file transfers for B2B transactions. Reliance on complex, brittle and antiquated systems to exchange critical data impacts time to market, cost-efficiency and satisfaction across suppliers and end-customers. Modernization of B2B integration in recent years has moved forward in fits and starts, often undermined by competing priorities and misalignment between business and IT managers.
Tags : 
b2b integration, customer loyalty, ibm, customer growth
    
IBM
Published By: SAS     Published Date: Jan 17, 2018
Competitive advantage from analytics is changing, and for the better. For the first time in four years, MIT Sloan Management Review found an increasing ability to strategically innovate with analytics based on interviews with more than 2,600 practitioners and scholars globally. Learn more about key findings, including: Wider use of analytics, better knowledge of its benefits and greater focus on applications have reversed a trend on the benefits of analytics. Return on investment for analytics stems from the governing and sharing of data throughout the organization. Machine learning enables organizations to discover more insight from their data, allowing employees to focus on other critical responsibilities.
Tags : 
    
SAS
Published By: Basho     Published Date: Apr 07, 2015
Did you know that the total amount of data will reach 44 zettabytes by 2020 and that 80% of that data will be unstructured data? Are you ready for all of this unstructured data? More importantly, do you know how to turn it into a competitive advantage? Learn about the challenges that come with unstructured data and how to deal with those challenges in our latest publication “Meeting the Challenges of Unstructured Data” In this Whitepaper you’ll learn: What is driving the growth in unstructured data The challenges associated with managing unstructured data How companies are capitalizing on the opportunities that unstructured data presents to save money, time, and create new market opportunities
Tags : 
basho, unstructured data, competitive advantage, new market opportunities, managing unstructured data, it management
    
Basho
Published By: DocuSign     Published Date: Mar 23, 2016
Read the case study to learn how Associated Bank systematically replaced a portion of its paper-based processes with DocuSign's Digital Transaction Management (DTM) solution to provide better customer service and gain the competitive advantage that comes with it. By using DocuSign, Associated Bank: • Unlocked data, sped up processes, reduced abandonment rate • Increased efficiency and improved customer satisfaction • Gained sustainable competitive advantage
Tags : 
    
DocuSign
Published By: Juniper Networks     Published Date: Aug 08, 2017
Cloud, social, big data, and the Internet of Things (IoT) are increasingly central to business decisions as the pace of digitization accelerates. The impact of software-defined networking (SDN), virtualization, and converged and hyperconverged infrastructure within the datacenter is substantial. These technologies add complexity but offer enticing opportunities for new business models, revenue streams, operating efficiencies, and agility that organizations must pursue if they want to remain competitive and viable. This pursuit requires businesses to keep up with current and emerging technologies and applications and transform the ways in which they conduct business. At the core of "keeping up" is an organization's datacenter strategy — with an associated technology and services strategy that will either create industry laggards or accelerate innovators.
Tags : 
    
Juniper Networks
Start   Previous    1 2 3 4 5 6 7 8 9 10 11    Next    End
Search      

Related Topics

Add Research

Get your company's research in the hands of targeted business professionals.