data insights

Results 1 - 25 of 476Sort Results By: Published Date | Title | Company Name
Published By: DATAVERSITY     Published Date: Jul 24, 2014
Will the “programmable era” of computers be replaced by Cognitive Computing systems which can learn from interactions and reason through dynamic experience just like humans? With rapidly increasing volumes of Big Data, there is a compelling need for smarter machines to organize data faster, make better sense of it, discover insights, then learn, adapt, and improve over time without direct programming. This paper is sponsored by: Cognitive Scale.
Tags : 
data, data management, cognitive computing, machine learning, artificial intelligence, research paper
    
DATAVERSITY
Published By: Erwin     Published Date: Sep 13, 2018
Do you know what data you have, where it is and how to wring all the possible value from it? By harmonizing your data management and data governance efforts, you can accelerate your time to data preparation, data visibility and data-driven insights. Then you’ll know how to get the results you need.
Tags : 
    
Erwin
Published By: graphgrid     Published Date: Oct 02, 2018
Whether it’s for a specific application, optimizing your existing operations, or innovating new customer services, graph databases are a powerful technology that turn accessing and analyzing your data into a competitive advantage. Graph databases resolve the Big Data limitations and free up data architects and developers to build amazing solutions that predict behaviors, enable data driven decisions and make insightful recommendations. Yet just as cars aren’t functional with only engines, graph databases require surrounding capabilities including ingesting multi-source data, building data models that are unique to your business needs, ease of data interaction and visualization, seamless co-existence with legacy systems, high performance search capabilities, and integration of data analysis applications. Collectively, this comprehensive data platform turns graph capabilities into tangible insights that drive your business forward.
Tags : 
    
graphgrid
Published By: graphgrid     Published Date: Oct 19, 2018
Graph databases are about to catapult across the famous technology adoption chasm and land in start-ups, enterprises and government agencies across the globe. The adoption antibodies are subsiding as the power of natively connected data becomes fundamental to any organization looking for data-driven insights across operations, suppliers, and customers. Moore’s Law increases in storage capacity and processing power can no longer keep up with the pace of data expansion, yet how companies structure and analyze their data ultimately will impact their ability to compete. Unstructured, disconnected data is useless. Graph databases will rapidly jump from niche use cases to a transformative IT technology as they enable turning the data you collect into actionable insights. Data will become the single most differentiating asset for your organization.
Tags : 
    
graphgrid
Published By: Embarcadero     Published Date: Jul 23, 2015
Whether you’re working with relational data, schema-less (NoSQL) data, or model metadata, you need a data architecture that can actively leverage information assets for business value. The most valuable data has high quality, business context, and visibility across the organization. Check out this must-read eBook for essential insights on important data architecture topics.
Tags : 
    
Embarcadero
Published By: Cloudant - an IBM Company     Published Date: Jun 01, 2015
Whether you're a DBA, data scientist or developer, you're probably considering how the cloud can help modernize your information management and analytics strategy. Cloud data warehousing can help you get more value from your data by combining the benefits of the cloud - speed, scale, and agility - with the simplicity and performance of traditional on-premises appliances. This white paper explores how a cloud data warehouse like IBM dashDB can reduce costs and deliver new business insights. Readers will learn about: - How data warehousing-as-a-service helps you scale without incurring extra costs - The benefits of in-database analytics in a cloud data warehouse - How a cloud data warehouse can integrate with the larger ecosystem of business intelligence tools, both on prem and off prem
Tags : 
nosql, ibm, dashdb, database, cloud
    
Cloudant - an IBM Company
Published By: AT&T     Published Date: Sep 11, 2014
The age of Big Data is upon us. Storage costs are going down, and data analytics is becoming more capable and more user-friendly. Even your auto mechanic will be storing a petabyte of data soon. Big Data will give businesses new insights and help improve operations. With these new tools come questions about how to use them. But your mechanic knows more about fixing a transmission than developing a Hadoop cluster, and similar concerns hold true for larger enterprises. Businesses everywhere are looking for guidance.
Tags : 
    
AT&T
Published By: Skytree     Published Date: Nov 23, 2014
Critical business information is often in the form of unstructured and semi-structured data that can be hard or impossible to interpret with legacy systems. In this brief, discover how you can use machine learning to analyze both unstructured text data and semi- structured log data, providing you with the insights needed to achieve your business goals.
Tags : 
log data, machine learning, natural language, nlp, natural language processing, skytree, unstructured data, semi-structured data, data analysis
    
Skytree
Published By: Neo Technology     Published Date: Jun 28, 2015
The future of Master Data Management is deriving value from data relationships which reveal more data stories that become more and more important to competitive advantage as we enter into the future of data and business analytics. MDM will be about supplying consistent, meaningful views of master data and being able to unify data into one location, especially to optimize for query performance and data fit. Graph databases offer exactly that type of data/performance fit. Use data relationships to unlock real business value in MDM: - Graphs can easily model both hierarchical and non-hierarchical master data - The logical model IS the physical model making it easier for business users to visualize data relationships - Deliver insights in real-time from data relationships in your master data - Stay ahead of the business with faster development Download and read the white paper Your Master Data Is a Graph: Are You Ready? to learn why your master data is a graph and how graph databases like Neo4j are the best technologies for MDM.
Tags : 
database, nosql, graph database, big data, master data management, mdm
    
Neo Technology
Published By: Trillium Software     Published Date: Apr 10, 2017
For the 11th consecutive year, the Gartner Magic Quadrant for Data Quality Tools1 research report positions Trillium Software as a leader in the Data Quality Software industry. Data Quality is vital to ensuring trust in your data-driven, decision making business processes. Confidence is the result of a well thought out and executed data quality management strategy and is critical to remaining competitive in a rapidly and ever-changing business world. The 2016 Gartner Magic Quadrant for Data Quality Tools report is a valuable reference, providing the latest insights into the strengths and cautions of leading vendors. Access the report to learn how a leading data quality solution can help you achieve your long-term strategic objectives.
Tags : 
    
Trillium Software
Published By: Reltio     Published Date: Feb 12, 2016
Reltio delivers reliable data, relevant insights and recommended actions so companies can be right faster. Reltio Cloud combines data-driven applications with modern data management for better planning, customer engagement and risk management. IT streamlines data management for a complete view across all sources and formats at scale, while sales, marketing and compliance teams use data-driven applications to predict, collaborate and respond to opportunities in real-time. Companies of all sizes, including leading Fortune 500 companies in healthcare and life sciences, distribution and retail rely on Reltio.
Tags : 
    
Reltio
Published By: IDERA     Published Date: Nov 07, 2017
Data modeling is all about data definition but has a much wider impact on the data of your organization. Quality data definition impacts how data is produced and directly impacts how the data is or will be used throughout an organization. That means that we must proactively govern the process of how we define data, to establish a common understanding across the team. In this whitepaper, Robert Seiner describes how data modeling is a form of data governance and provides insights on the three actions of governing data.
Tags : 
    
IDERA
Published By: Alteryx     Published Date: May 24, 2017
Spreadsheets are a mainstay in almost every organization. They are a great way to calculate and manipulate numeric data to make decisions. Unfortunately, as organizations grow, so does the data, and relying on spreadsheet-based tools like Excel for heavy data preparation, blending and analysis can be cumbersome and unreliable. Alteryx, Inc. is a leader in self-service data analytics and provides analysts with the ability to easily prep, blend, and analyze all data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks. This paper highlights how transitioning from a spreadsheet-based environment to an Alteryx workflow approach can help analyst better understand their data, improve consistency, and operationalize analytics through a flexible deployment and consumption environment.
Tags : 
    
Alteryx
Published By: graphgrid     Published Date: Oct 02, 2018
Whether it’s for a specific application, optimizing your existing operations, or innovating new customer services, graph databases are a powerful technology that turn accessing and analyzing your data into a competitive advantage. Graph databases resolve the Big Data limitations and free up data architects and developers to build amazing solutions that predict behaviors, enable data driven decisions and make insightful recommendations. Yet just as cars aren’t functional with only engines, graph databases require surrounding capabilities including ingesting multi-source data, building data models that are unique to your business needs, ease of data interaction and visualization, seamless co-existence with legacy systems, high performance search capabilities, and integration of data analysis applications. Collectively, this comprehensive data platform turns graph capabilities into tangible insights that drive your business forward.
Tags : 
    
graphgrid
Published By: Experian     Published Date: Nov 03, 2015
It is critically important for businesses today to leverage data as a strategic asset, instead of allowing it to become an obstacle. As more and more organizations are trying to make smarter, data-driven decisions, they are discovering that their data management strategy may not be as mature as it needs to be. One major shift we are seeing is the implementation of a Chief Data Officer. Experian Data Quality recently conducted a research study of more than 250 Chief Information Officers (CIOs) and Chief Data Officers (CDOs) in the US about their data management practices, and the explosion of the CDO role. Key insights in the report include: - Tips for overcoming typical data challenges within your organization - The changing data management landscape and its affect on the CIO - The new and growing need for the CDO - And more!
Tags : 
    
Experian
Published By: Vena Solutions     Published Date: Oct 29, 2018
Based on in-depth research and customer interviews, the annual Nucleus Research Value Matrix map out the corporate performance management (CPM) market landscape, evaluating vendors on a matrix contrasting usability and ease-of-use versus features and depth of functionality. Read or download the 2018 edition to uncover the most up-to-date CPM landscape, to find the best finance software solution for your needs, and to see why Vena led the pack in usability to land in the Leader quadrant for the third straight year.
Tags : 
nucleus research, cpm matrix, cpm technology value, cpm technology matrix 2018, excel replacement, financial planning, budgeting, forecasting, financial modeling, business modeling, finance what-if scenarios, financial close and consolidation, risk and audit management, erp data integration systems, adaptive insights, hyperion, anaplan, prophix, vena solutions
    
Vena Solutions
Published By: Google     Published Date: Oct 26, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
Tags : 
    
Google
Published By: Arm Treasure Data     Published Date: Oct 17, 2018
What does it take to succeed in today’s hypercompetitive and hyperconnected digital economy? Keep reading to find out.
Tags : 
arm treasure data, treasure data, customer data, data insights, customer intelligence, customer engagement, customer transactions, data integration, business technology
    
Arm Treasure Data
Published By: Here Technologies     Published Date: Sep 28, 2018
How do you keep people safe in a ‘once in a 1,000 years’ weather event? Hurricane Harvey was a category four hurricane which struck the coast of Texas, eastern Texas and southwestern Louisiana in August 2017. HERE was able to track the storm and accurately report more than 2,100 road closures and blockages in real-time helping people stay out of harm’s way. HERE is the world’s leading provider of traffic incident information to the automotive industry. This eBook shows how HERE’s deploys its people and artificial intelligence to gather the data, check it for accuracy and produce insights which keeps drivers safe.
Tags : 
    
Here Technologies
Published By: Lookout     Published Date: Mar 28, 2018
Mobile devices have rapidly become ground zero for a wide spectrum of risk that includes malicious targeted attacks on devices and network connections, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. Read the four mobile security insights CISOs must know to prepare for a strategic conversation with the CEO and board about reducing mobile risks and the business value associated with fast remediation of mobile security incidents.
Tags : 
    
Lookout
Published By: Group M_IBM Q418     Published Date: Oct 15, 2018
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data. Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
Tags : 
    
Group M_IBM Q418
Published By: Workday     Published Date: May 09, 2018
ERP Must-Haves for Finance: Leave behind cumbersome reporting, spreadsheets, and data that offers zero insights. IDC MarketScape has put together a guide to help you find the best finance and accounting applications. Read an excerpt of the report to learn today’s must-have ERP capabilities and why the IDC MarketScape positioned Workday in the Leaders category.
Tags : 
    
Workday
Published By: Workday     Published Date: Sep 19, 2018
Hoarding data isn’t doing much to help your financial services firm if you can’t easily combine data from multiple sources and quickly run analytics. But there is a way to turn those heaps of data into actionable insights to get clearer answers to your biggest questions and better drive your firm’s strategy. Read the blog to learn how to improve your back end to go from data hoarding to decision-making.
Tags : 
    
Workday
Published By: Adobe     Published Date: Nov 02, 2018
In our 39-criteria evaluation of customer analytics solutions providers, we identified the nine most significant ones — Adobe, AgilOne, IBM, Manthan, NGDATA, Salesforce, SAP, SAS, and Teradata — and researched, analyzed, and scored them. This report shows how each provider measures up and helps customer insights (CI) professionals make the right choice.
Tags : 
    
Adobe
Published By: Epicor     Published Date: Sep 21, 2018
Does your current software give your business the visibility and flexibility you need to be responsive and competitive, or is outdated software negatively impacting business growth and excellent service? The retail world is becoming more complex. eCommerce has grown in the U.S.—from $42 billion to $236 billion in the last decade*—and lifestyle shopping is raising customer expectations. Having the right retail management software solution—one that can keep up with your business needs and the increasing pace of technology—is critical. Given the recent advancements in technology—and higher customer expectations—perhaps it’s time to ask if your retail management software is up to the task of nurturing and managing your growth over the coming decade. Epicor has been a part of successful retail businesses for years. Here are some risks you may face from using outdated software: 1. Excessive labor costs and hiring gaps 2. Operational inefficiencies 3. Insufficient data and insights 4. Dimi
Tags : 
retail store software, retail sales software, retail saas, p o s, point of sale, epicor eagle, benefits of epicor eagle, benefits of retail pos, advantages of retail saas, advantages of retail store software
    
Epicor
Start   Previous   1 2 3 4 5 6 7 8 9 10 11 12 13 14 15    Next    End
Search      

Add Research

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