The only way to bring order to this chaotic environment is to employ a comprehensive hybrid cloud strategy that provides data management capability across cloud, multicloud, and on-premises infrastructure.
Banks consider big data analytics a competitively differentiating technology.
In today’s hybrid and multicloud environments, forward-looking organizations are deploying global data management platforms that span hybrid cloud architectures.
This report explores a leading approach to data governance and the impact it can have on today’s most data-rich organizations.
The end-to-end information capabilities of IBM Information Server let you better understand data and cleanse, monitor, transform and deliver it. Information Server can uniquely support the flexibility, performance, and scalability required to succeed with projects of any size.
By leveraging the comprehensive capabilities in Information Governance Catalog, you are better able to align IT with your business goals.
This major U.S. airline chose StreamAnalytix in a bid to efficiently manage, analyze, and draw actionable real-time insight from its continuously growing and complex customer and operational data.
Enterprises today need a streaming analytics platform that can filter, aggregate, enrich, analyze, and visualize high-velocity data from multiple disparate live data sources in any data format and unify this insight with data from batch sources.
In this e-book, we’ll explore common myths and misconceptions about moving from traditional to modern BI.
If you are a developer or data scientist interested in big data, learn why Spark may be the tool for you. Databricks is happy to present this e-book as a practical introduction to Spark.
Nik Rouda discusses how Cloudera complements popular cloud services, such as Amazon Web Services (AWS) and Microsoft Azure, and offers the unified platform to organize, process, analyze, and store data at large scale...anywhere.
The companies seeing the greatest value from IoT are the best at dealing with how products are performing for customers.
Your data platform choice will ultimately determine the success of all your business and operational goals related to insights.
This paper presents some points you should consider if you use, or plan to use, a spreadsheet to perform statistical analysis.
The purpose of this paper is to demonstrate the benefits of using the R programming language with IBM SPSS Statistics and Modeler software rather than simply trying to go it alone with R.
Using IBM SPSS Statistics and R together makes the most of both worlds.
Organizations today rely on survey research to gather much-needed business intelligence. This white paper discusses survey research as a seven-step process, detailing how to maximize your efforts every step of the way.
Customer surveys are an invaluable business tool for gauging customer sentiment and behavior. Using predictive analytics to analyze and act on survey data helps businesses design and execute activities that ultimately maximize performance results.
The more data you have, the better the quality of your reports and strategic recommendations, right? Sure…if you can analyze that data intelligently and quickly, and make it actionable with valuable insights.
Organizations often lack two critical capabilities when it comes to making the right decisions for the business: the ability to make accurate predictions about the future, and to then use those predicted insights in conjunction with organizational goals to identify the best possible actions they should take.
With predictive analytics, the enterprise learns from its cumulative experience (data), and takes action to apply what's been learned.
In the domain of data science, solving problems and answering questions through data analysis is standard practice. Often, data scientists construct a model to predict outcomes or discover underlying patterns, with the goal of gaining insights.
Data exploration and analysis is a repetitive, iterative process, but in order to meet business demands, data scientists do not always have the luxury of long development cycles. What if data scientists could answer bigger and tougher questions faster?
Honda's process for gathering customer feedback about issues and classifying this information was extremely time consuming as individuals had to read and classify each message, which averages about 310,000 messages per month in Japan alone. So Honda worked with IBM to implement a cognitive solution using IBM Watson Explorer to help extract and classify the incoming feedback.
Financial services firms are facing a new set of challenges and risks. In an increasingly global, mobile, and connected world, customers expect the companies with which they do business to leverage Big Data, analytics, mobile, cloud, and other technologies to improve the customer experience.
This document outlines how best-in-class firms use efficient content processes to achieve higher levels of customer-centricity.
This report helps enterprise architecture (EA) professionals make the right choice when requirements are skewed to the needs of information workers who need to create, collaborate on, share, and find enterprise content.
IBM can help you access, analyze, and act on business content with proven industry-focused content management solutions. Smarter content for customer-centricity and productivity is just a click away.
Leveraging technological advances such as deep search and exploration, advanced content analytics, and cognitive capabilities, IBM Watson Explorer provides a unified view of the information you need.
IBM Watson Explorer is a cognitive exploration solution that combines search and content analytics with unique cognitive computing capabilities to help users find and understand the information they need to work more efficiently and make better, more confident decisions.
IBM is leading the way in cognitive computing with solutions such as IBM® Datacap Insight Edition. which, applies advanced imaging, text analytics, natural language processing and machine learning technologies to automatically find, extract and classify important information from complex and variable documents.
IBM® Big SQL enables users to query Hive and HBase data using ANSI-compliant SQL. Make better decisions fast with powerful SQL-on-Hadoop for big data analytics.
This paper outlines what readers should consider when making a strategic commitment to a database platform that will act as a bridge from legacy environments to the cloud.
Analytics usage trends are placing new demands on rigid data warehouses. What’s needed is hybrid data warehouse architecture that supports all deployment models.
In this white paper, IDC describes the current and emerging states of business analytics solution deployments. The demand trends, based on IDC's market research, are being addressed with an emerging new data management and analytics architecture that emphasizes a hybrid approach to these analytics technologies.
This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database.
Explore the link between data governance and analytics, and discover why good data governance is essential to analytics success.
Download the e-book to learn everything you need to know to master the “must-have” skill of 2017.
Download this e-book to learn what a data catalog is, why you need it, and how to find the right one.
Think you know data governance? Think again. Download the white paper to see why.
Download this complete guide to get everything you need to start – or restart – your data governance program.
Download your complimentary copy of the Gartner report to see where the market is headed and why Collibra is positioned in the Leader’s quadrant.
The obstacles that have long prevented companies from completing the centralization process can now be overcome with the right technical stack of tools and databases. In the modern world, the centralized repository can come to life in new ways to allow organizations to finally realize the dream of a single version of the truth.
Download this white paper to see how Hexaware developed a road map for building a highly scalable Cloud Data Warehouse that could be provisioned in a quicker time frame and handle high volumes of data processing.
The European Union’s General Data Protection Regulation (GDPR) will bring new accountability obligations, increased data protection rights for EU citizens, and restrictions on data flows across borders. In this whitepaper, Sultan Shiffa discusses how ER/Studio Enterprise Team Edition can help organizations develop an enterprise data architecture with an eye toward GDPR compliance.
This paper explores five key reasons why companies are struggling to get the results they want with their cloud database migrations and why it’s crucial for companies to invest in a tool that can fully leverage the power of the cloud.
Download this white paper to learn the twelve critical building blocks of an enterprise data science platform.
This white paper identifies the opportunities and hazards related to 6 key trends in IT, including big data, intelligent algorithms and smart machines.
Download this guide to take the pain and frustration out of choosing a self-service data preparation solution and select the one that’s right for your business.
If you want to give your organization a data lake that’s deeper and broader than ever before, while maintaining essential control and governance, you can do so today.
This handbook takes a deep dive into the IT architectures developed by three different enterprises for big data, real-time analytics, and ETL projects on Amazon Web Services (AWS) using Talend.
When GDPR takes effect in May 2018, data governance may become one of the most important elements of your data integration architecture.
Download this white paper to learn why we must learn to think about data as a service that is accessed, processed, analyzed, and reported by everyone who has a need for information.
Download this white paper to learn how Agilisium provides a comprehensive framework that enables seamless and risk-free migration to AWS Redshift.
Download this e-book for insights, best practices, and key steps to leverage your company's data to improve outcomes, streamline operations, and drive new business opportunities.
Download this white paper to learn why your organization should move to an innovation-driven business model and adopt a data-centric approach to meet the demands of the marketplace.
This white paper describes how analytics solutions from OpenText can help your business derive more value from the Internet of Things.
Download this white paper to learn how to reduce the total cost of business intelligence by adopting the right BI platform.
Download this white paper to learn why having an active analytics attitude, backed up with the right analytics and reporting solution, can help you work smarter and faster.
Download this white paper for a better understanding of deep learning.
Download this white paper for highlights on the benefits of data governance for data discovery and self-service analytics environments.
In search of best practices for creating successful analytics products, Birst interviewed 10 companies across different industries. Download this e-book for the most valuable takeaways from the interviews.
Managing Data Warehouse Off-Loading with Big Data is the definitive guide to implementing a data warehouse off-loading pattern with data virtualization. Download it today.
The business intelligence (BI) market has shifted to more user-driven, agile development of visual, interactive dashboards with data from a broader range of sources. This white paper finds that data and analytics leaders should augment or upgrade traditional BI platforms to modern platforms that improve business value and speed time to insight.
Download this white paper to learn how self-service analytics can meet the needs of different user communities at your organization.
Download this report for a survey of the current landscape for data integration tools and the top players in the field.
Download this white paper to learn how modern supply chain analytics will facilitate collaboration beyond the four walls of your business and across the entire ecosystem of partners and suppliers.
Download this white paper to learn why BI leaders who embrace self-service data preparation capabilities will have a competitive advantage over organizations that insist on centralized ETL alone.
This white paper describes Forrester’s 16-criteria evaluation of cloud business intelligence platform vendors, which identified the 15 most significant vendors in the category and researched, analyzed, and scored them. Their research uncovered a market in which Birst is one of the three leading vendors.
This white paper describes how companies evaluating business intelligence solutions must look for modern architectures that support transparent governance at business speed and deliver a unified view of data without sacrificing end-user autonomy.
Download this white paper for a look at the top 10 industries that can monetize the value of their data. This is a collection of use cases that show examples of monetizable data, the value and beneficiaries of this data, and the business applications that can be created around it.
Download this white paper to learn how data virtualization provides a way to access data from separate systems, making it appear as if the data were in a single data lake.
Download this white paper to measure and assess the efficiency and effectiveness of your organization's business intelligence environment.
Download this white paper to learn how seven companies transformed their business by using data analytics, along with the analytics applications they implemented.
Download this white paper for an in-depth review of the Denodo Platform 6.0 and its key features, which offer significant breakthroughs in data virtualization technology.
Today’s users demand reports with better business insights, more information sources, real-time data, and more self-service—and they want these delivered more quickly, making it hard for BI professionals to meet such expectations. This white paper outlines how the use of data virtualization can help BI professionals to accomplish these goals.
Download this Checklist Report to learn best practices for data warehousing in the cloud.
Download this white paper to understand the right way to embrace data refinement and turn your organization's raw data into actionable information.
Download this white paper to learn how IBM dashDB transforms the traditional data warehouse with a hybrid architecture that provides all the flexibility and scalability of the cloud while ensuring security.
Download this white paper to learn how your organization can benefit from a data lake maintained in a cloud or hybrid infrastructure.
Download this white paper to learn about Hadoop's business-friendly benefits.
Download this white paper to learn how Hadoop can be a catalyst for an enhanced and well-rounded data strategy.
Download this white paper to explore hybrid data warehouses that exploit the potential of cutting-edge technologies.
Download this white paper to learn about IBM's cloud and on-premises big data analytics offerings, such as IBM BigInsights for Apache Hadoop; IBM integration with Apache Spark; and Big SQL and Fluid Query, which simplify access to traditional data warehouses and Hadoop.
The market for data warehouse and data management solutions for analytics is demanding broad solutions. Download this Gartner Magic Quadrant report to find the right vendor for your needs.
If your first-generation warehouse is constraining your business, it may be time to consider a logical data warehouse solution. This white paper describes the four key facts you need to know to help you evaluate and choose the right solution.
Download this new vendor-neutral assessment to learn key barriers to feeding the growing appetite for data insight across organizations—and how to overcome them at the scale that only a native big data architecture makes possible.
The future of scalable enterprise software and applications is tightly bound with Hadoop. Download this white paper for a comparison of six vendors vying for business intelligence’s Hadoop future across 22 critieria.
Download this white paper to learn how a healthcare IT company is using big data and analytics to reduce costs and increase the efficiency of healthcare delivery while improving patient outcomes.
Download this white paper to learn how your organization can benefit from Cloudera’s secure data-in-motion solution for the ingestion, processing, and serving of your data.
Download this e-book to learn about the value of migrating to an AWS data lake and the rationale for a modern BI solution such as Zoomdata to drive analysis and visualize data.
Download this white paper to learn how big data analytics can help your organization increase revenue, reduce operating costs, and avoid debilitating losses.
Download this e-book to learn how to use big data to grow your business and gain a competitive edge.
Download this e-book for a clear understanding of the value big data analytics offers over traditional business intelligence.
This white paper, part one in a three-part series, covers the design principles of creating an anomaly detection system. It explores various types of machine learning techniques, along with the main design principles that affect how that learning takes place.
Download this white paper for a discussion of the pros and cons of open and embedded analytics.
Download this white paper to learn how powerful analytics can fine-tune service offerings, optimize network operations, reduce customer turnover, and improve capacity planning at telecommunications companies.
Download this white paper to learn how institutions of higher education are using MicroStrategy’s enterprise solutions to transform recruitment, promote student achievement, and drive financial planning.
Download this white paper to learn how leading retailers are embracing mobile technology to enhance the customer experience, drive sales, boost customer loyalty, and achieve operational efficiencies.