The report will analyze the effect of different kinds of artificial intelligence (such as computer vision and speech recognition), as well as applications such as human resources, where it will change the way companies recruit, hire and retain staff.
To further drive the IoT insurance market and build on its market position, Octo Telematics needed to develop an IoT and telematics platform with the functionality, flexibility, and scale to support the next evolution of IoT-based insurance propositions.
Read this report to understand the speed at which the public cloud will unseat on-premises big data technology and solutions. This report will also help accelerate your plans, explain your options, and provide a four- step method for evolving your big data road map.
Learn EMA's best practices for driving toward analytic initiatives in the cloud and the key to cloud success.
As companies scramble to protect digital assets from a new generation of threat actors, big data and machine learning are yielding critical threat intelligence. A new IDG Research survey finds greater visibility is essential.
In the last decade, there has been an explosion of BI and reporting technologies that cater to every type of business and all types of user preferences. With numerous options available, most businesses have chosen the path of using a variety of reporting tools within their organizations.
Here, you will find details on one client's technical landscape and DataFactZ's approach in unifying various BI and reporting platforms.
Companies, engineers, architects, developers, and users across the world are embracing data on the cloud, because of its cost-effectiveness and the performance boost it provides. Throughout the migration of data from on-premises to the cloud, one can expect challenges, surprises, but also great rewards. An organization should strategize such moves and be prepared with a list of all actionable items before attempting to migrate any data.
Organizations are always looking to improve their operations with the most technologically advanced, yet most cost-effective solutions. This applies to the area of business intelligence and reporting as well. It is quickly becoming a norm for companies to migrate their data to the cloud, and we can expect a similar trend for companies to use those cloud services for their BI and reporting needs. DataFactZ had the opportunity to oversee this type of implementation for one of the Midwest’s biggest food distribution companies.
As competition heats up, the companies that can find the right balance between edge and hub are likely to fare best. Download the results of the IDG survey.
A leading pharmaceutical company was tasked with migrating critical manufacturing data from a legacy system to a new management platform. Given the complexities involved in data migration, the company decided to team up with DataFactZ to move its existing SSIS to a new data integration platform, and benefit from the seamless data integration solutions offered.
Data is reshaping the face of infrastructures, businesses, politics, and economics. Like oil, data is extracted, refined, valued, bought, and sold. With it comes new rules and regulations, and perhaps more. Will battles be fought over data? This engaging Economist article takes an in-depth look.
Database Trends and Applications shares how to break free of data analytics barriers. Don't get stuck just trying to keep the status quo.
This report will provide guidelines for evaluating and improving data science practices within large organizations. It will also provide details about necessary product capabilities that customers can use to make well-informed product selections.
Download this white paper to read user experiences using Hadoop as well as their experiences in transitioning from proof of concepts and experiments into production.
More than 90% of participants in our research said that IoT is important to their future operations. Download this white paper to learn how to extract the value from IoT data and analytics.
Read this fun eGuide to discover how the simple and automated Attunity data integration platform benefits users with its drag-and-drop GUI design that enables very high-volume universal data replication and ingestion as well as real-time, continuous data integration and loading.
Download this guide for a cost-effective, low-risk solution to rebalancing data and workloads from traditional data warehouses to Hadoop.
Data lakes have emerged as a primary platform on which data architects can harness Big Data and enable analytics for data scientists, analysts and decision makers. Download this white paper to learn the six core principles that successful IT organizations adopt to address common data lake challenges.
Download this white paper to learn the drivers and challenges for enabling real-time big data delivery in heterogeneous environments using analytics.
Data lakes add value. Their use improves organizations’ operations and business performance. Our research underscores this; four out of five participating organizations consider the analytics enabled by data lakes to be important. But these benefits aren’t automatic.
This book will look closely at the emerging trends in big data and the pressing need for analytics solutions that emphasize more user-friendly approaches, such as more sophisticated visualization techniques.
The data management landscape is highly complex, with Big Data and NoSQL technologies creating a variety of languages and skills that most organizations do not have internally. Metadata management has strategic, efficiency, financial, and regulatory implications that must be addressed to break data value bottlenecks.
In the past few years, artificial intelligence and machine learning technologies have both become more prevalent and feasible than ever before. Discover how developers are approaching these new tools and ideas and why they are interested.
All kinds of valuable patterns and insights are contained in textual content, such as emails, memos, customer service chats, social media streams, and news articles. The problem is extracting the value.
In this paper, we outline some basic concepts of cognitive computing and explain how we are using it in OpenText Magellan, an artificial intelligence-powered analytics and business intelligence platform.
Today, data is the lifeblood of every enterprise. In order to succeed in this customer-centric era, data insights must inform every function of the business, including customer experience, operations, marketing, sales, service, and finance. This white paper describes how organizations that understand how data is used can prioritize their analytics efforts to find the most valuable and actionable insights on a regular basis.
Learn how this global developer of telecommunications electronics equipment is using big data analytics to deliver advanced predictive network analytics for Telecom Service Providers, enabling them to improve customer experience and optimize service performance for subscribers.
Download this case study and learn how Suunto, an extreme-sport watch manufacturer, is analyzing massive data volumes generated by millions of weekly customer training sessions rapidly and reliably.
Download this case study and learn how Supercell, a mobile gaming developer, is using big data analytics to improve customer service by augmenting player support. See how they were able to reduce query times from hours to minutes or seconds, enabling them to react faster, fix problems and improve customer experience.
Download this Frost & Sullivan white paper and learn how cutting-edge advertisers such as AdForm, AppNexus, Criteo and Tapjoy are using big data analytics to deliver new insights that empower them to make optimal advertising decisions and dramatically improve campaign results.
Download this case study and learn how deltaDNA, a solutions provider serving the gaming industry, is using real-time analytics to detect and respond to player behavior.
Learn how this flash storage data company generated 287% ROI and an average annual benefit of $13.6M by replacing its legacy database with Vertica.
Want to learn how to advance your big data analytics program and discover where you are relative to your peers in big data maturity? This TDWI guide explores the different stages in the maturity model and provides best practices for advancing through each stage.
Modern Master Data Management (MDM) is more than an extension of your data governance strategy. See how Reltio is taking MDM to the next level with its data platforms in AWS and Google Cloud.
Big data is growing faster than the capabilities available to manage and analyze it. Get this vendor comparison to learn how a modern master data management platform will help you to achieve better outcomes.
Explore this 31-criteria Forrester Wave Report on MDM platforms and vendors. You'll discover an evaluation of 12 vendors, including leader Reltio, with modern Master Data Management.
Download this white paper and learn how new in-database machine learning tools capable of processing these massive data sets are allowing companies to embrace the power of Big Data and accelerate business outcomes with predictive analytics.
Are you ready to capitalize on IoT data? Download this white paper from Harbor Research and learn how you can overcome the challenges of fragmented and legacy systems that are simply not equipped to handle IoT data.
You have a legacy system that no longer meets the demands of your current data needs, and replacing it isn’t an option. But don’t panic: Modernizing your traditional enterprise data warehouse is easier than you may think.
Read the newest e-book from Hortonworks and TDWI “EDW Modernization: Becoming a Data-Driven Enterprise” and learn what it means to be a data-driven enterprise.
How do enterprise architecture professionals make the right choice for their enterprise data warehouse strategy? A recent Forrester Wave Report looked at Big Data warehouse vendors to see how they measured up in various categories, including deployment, support, roadmap and partners. Hortonworks was ranked as a leader in The Forrester Wave™: Big Data Warehouse, Q2 2017.
In this white paper, Dr. Barry Devlin of 9sight Consulting takes on the controversy: must you ditch your enterprise data warehouse (EDW) for a data lake? In fact, Dr. Devlin shows these two technologies are complementary. Each serves a different set of business and technical needs, and they work together to help you get the most value from your business data.
Download this free report today to discover what strategies others are adopting, what’s working, and what results they are achieving. Learn from the experience of others to steer around the obstacles and keep your own program moving ahead
Apache NiFi is an integrated data logistics and simple event processing platform. It provides an end-to-end platform that can collect, curate, analyze and act on data in real-time, on-premise, or in the cloud with a drag-and-drop visual interface. This book is a must read.
Firms face an enormous data management challenge: how to act on data and insights to serve increasingly powerful customers and outmaneuver disruptive competitors. Architects once had time to plan methodically, but those days are quickly fading as the pace of business change accelerates. The only answer is a continuous improvement that stretches data capabilities in an “insights-first” strategy. This report provides advice for enterprise and data architects to help them systematically improve their data management capabilities in order to turn data into insights.
To realize the full potential of Modern Data Applications, organizations need to be able to capture both rich, historical insights on data-at-rest and perishable insights from data-in-motion. While flow management tools are available to help gather, route, filter and transform data from any source, companies have lacked equivalent tools for building the analytics apps needed to extract insight from streaming data.
Small to medium-sized businesses use, on average, fifteen SaaS applications to boost productivity and open new engagement channels with customers. Download this white paper to see how data pipeline automation can give these companies a huge competitive advantage.
Download this white paper for an introduction to deep learning. Learn how Cloudera’s unified platform for data and machine learning can help your organization move forward with deep learning.
Download this white paper for an exploration of how five healthcare organizations are using business intelligence and analytics to drive organizational improvement.
Download this white paper to avoid making five common mistakes in business intelligence and analytics.
Download this white paper to learn how deep learning will help businesses understand their customers.
Download this white paper to learn how Cloudera solutions are enabling Experian, a credit reporting company, to create a better customer experience.
Download this white paper to learn how Attunity Compose, a revolutionary agile analytics platform, is enabling businesses around the globe to reduce data warehouse project labor, accelerate time to value, and make more informed business decisions faster.
Download this white paper for an explanation of logical data warehouse architecture and why organizations should invest in it.
Download this white paper to learn how customer insights from data can help drive customer loyalty, improve customer experience, increase revenue, and reduce cost.
Download this white paper to learn how Information Builders' business intelligence, data integrity, and integration software solutions provide a comprehensive yet simplified answer to the challenges associated with Hadoop-based data management.
Download this white paper to explore common application patterns companies are employing to get more value from their data in the cloud.
Download this white paper to learn how Cloudera Enterprise can supply your organization with right data at the right time for improved efficiency and customer insights.
Download this white paper to learn how Cloudera provides a new paradigm for breaking data silos, so insurers can blend and analyze data from any source, in any amount, and for all types of workloads.
Download this white paper to understand the current state of cybersecurity big data analytics and how it intersects with Apache Hadoop-based cybersecurity applications.
Download this e-book to learn how IT organizations can manage data smarter while maintaining or even reducing costs, so that business users can get real value from data faster and more easily.
Data warehouse automation (DWA) tools eliminate the manual effort required to design, deploy, and operate a data warehouse. This turns data warehouse development from a laborious, time-consuming exercise into an agile one. This white paper describes how there are many other factors that customers should consider before purchasing a DWA product.
We get it—you’re sick of all the manual mapping required to sort out inconsistencies in your data. You’re sick of going in blind to find and fix errors. Most of all, you’re sick of that feeling that you’ve been tasked with MISSION IMPOSSIBLE.
Accelerate insights from analytics with managed cloud services.
diwo is designed to reveal business opportunities in real time as it continuously analyzes multiple incoming data streams.
This document provides an overview of data management and data science within diwo, how it interacts with data and generates cognitive insights within existing Resilient Actor-based ecosystem as a microservices architecture to achieve minimal data redundancy and high speed data movement.
A participatory architecture is central to the evolution of diwo.
In this white paper, we will explore a few of the challenges of the traditional analytics platform and the risks of not modernizing, recommend what to look for in a solution that eliminates those challenges, and show you how some companies are using modern analytics platforms to succeed.
Download this white paper for the complete findings from a Forrester study evaluating the factors driving analytics/BI maturity, particularly in relation to cloud capabilities.
Work within the data warehouse's inherent limitations—not against them.
Collecting "big data" was once big news. However, companies are realizing that big data projects aren't delivering their expected ROI because building a repository is just part of the equation.
Get the benefits of data warehousing without the challenges of managing a data warehouse.
This Checklist Report drills into some of the emerging data platforms that modern data-driven organizations are embracing. The goal is to accelerate users’ understanding of new data platforms so they can choose/use the ones that best support the new data-driven goals of their organizations.
This infographic explains why financial services need secure analytics and how industrial-strength cloud security can help.
Some relational databases have undergone significant cloud-related development in their latest releases. Those will be the focus of this Sector Roadmap, along with the databases built native for the cloud.
Data has always been at the heart of the modern enterprise. For decades, though, most IT efforts have focused on data created by enterprise applications to support internal reporting and analysis.
Today, it’s clear that focusing on internal data for business insight has become dangerously inadequate.
You need a powerful, simple, and affordable data warehouse built for the cloud to store and analyze all your data in one location. In this e-book, we’ll detail key insights you can use to champion modern data warehouse technology within your organization, helping it become a data-driven enterprise.
This ESG Lab Review documents the recent analysis of Cloudera Navigator Optimizer with a goal of validating its ability to enable organizations to identify and offload SQL workloads from legacy data marts and costly enterprise data warehouses (EDWs) to a modern analytic database built on Hadoop, while optimizing existing workloads already on Hadoop.
Learn how Cloudera Enterprise provides a new kind of analytic database designed to tap into the full value of your data. As an adaptive, high-performance, analytic database, it opens up BI and exploratory analytics over more data—using the skills analysts already rely on—to derive instant value.
This guide contains the information you’ll need to understand and succeed with modern cloud data warehousing. It will start you on a path to transform your company’s data analytics with five key topics crucial to getting started.
If you want your business to be data-driven, you must first make an important decision about how to tap into your organization’s vast resources of raw data and how to turn this data into actionable business intelligence.
This e-book gives manufacturers the tools to lead the Quality 4.0 transformation—a transformation that raises traditional manufacturing to the next level. It teaches readers to use advanced technology, analytics and IIoT to strengthen the manufacturing process and bring it forward into a powerful digital age.
Learn how automakers and their partners are using IoT data and analytics to help them reshape business models, seize new sources of revenue, and develop inventive ways to better serve customers.
This white paper from Navigant Research, sponsored by SAS and Intel, explores the analytics infrastructure that utilities need to prepare for and benefit from the growth of electric vehicles.
Read this research summary from the International Institute for Analytics to get started. You’ll learn how to use analytics to gain advanced insight from the Internet of Things: tracking chips, in-store infrared traffic monitors, interactive kiosks and customer mobile devices, to name a few.
Download the 2018 Gartner Magic Quadrant for Data Integration Tools Report to find out!
The ability to gather data from sensors embedded throughout an enterprise can drive insights and operational efficiencies from the supply chain to the customer. But IoT and Industrial IoT (IIoT) implementations require high degrees of IT/OT convergence—collaboration and integration between information technology and operational technology groups—to succeed.
This A-to-Z guide includes 101 common terms related to the Internet of Things.
Download this e-book to discover how your organization can tap the power of massive amounts of data conveniently and affordably to enhance efficiency and transform raw data into valuable business intel.
It can be hard to keep up with the rapidly changing business intelligence (BI) landscape. But it doesn't have to be.
Modern BI solutions can increase the value of big data exponentially by lowering the barrier to entry with user-friendly solutions.
This book outlines the factors that your organization should consider before rolling out embedded analytics.
Eight specific storage requirements of AI and ML applications and why they demand the data management capabilities supplied by enterprise object storage solutions.
This white paper explores the features that make GPU databases ideal for BI and incorporates real-world use cases from actual customer implementations.
As data grows in volume, variety, and velocity, so does the capacity required for storage and archive as well as associated infrastructure and operating costs.
With unstructured data growing today at a dramatic rate, managing it requires a new approach—one that can automatically make intelligent decisions so IT does not have to do so manually.
Download this book to understand how change data capture (CDC) technology works, why CDC is needed, and what your peers have learned from their CDC implementations.
Avoid the unnecessary parts of ETL to maintain data integrity and achieve faster time to value for your analytics initiatives.
This IDC Perspective describes the technology investment priorities, challenges, and opportunities of banks and credit unions in the United States in 2018.
Finally, we can move beyond the conflict between data warehouse and data lake! It’s no longer one vs. the other but, rather, how these two concepts can complement one another for the benefit of both business and IT.