Download this e-book to learn how businesses in multiple industries are integrating disparate code and information to deploy models and deliver critical results with analytics.
How a unifying platform can bring together diverse data and analytics to drive measurable value for your organization.
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value.
Five steps to getting more value from your data and analytics investments.
Find out what text analytics can do for an organization and the top three things people need to know when adopting text analytics.
In the Harvard Business Review webinar summary, Dr. Tom Redman explains that to derive the maximum benefit from data assets, employees throughout the organization must build data skills.
Information Builders helps customers achieve success with embedded business intelligence (BI) by offering a powerful platform that keeps BI and analytics capabilities up-to-date with minimal cost, risk, and time.
In this paper we will explore how Tableau can help with all stages of an analytics project.
Every day millions of finance professionals extract data from different platforms and reporting systems into spreadsheets to ask and answer thousands of questions. The primary hardship with this ingrained manual routine is, of course, time.
Instead of letting nefarious characters own these concepts, use them to identify and fight back against fraud.
Salesforce is one of the most widely used customer relationship management tools in business today, and the data collected with it is vital to decision making throughout every sales organization. Utilize these 5 tips for boosting your pipeline with Salesforce data.
With new marketing channels and technologies popping up every day, marketers must adapt and evolve their analytics strategies, skills, and solutions to survive.
While Excel comes equipped with many features that help you get started with data, Tableau takes your analysis to the next level with flexible and responsive analytics.
For many, Excel is the go-to analysis tool of choice. But as useful as it can be, it just can’t do it all.
Data exploration usually starts with a question. But the answer to that question doesn’t need to be the end of the journey.
The invention of data warehouse automation (DWA) as a technology category was inevitable. And it was invented in a real sense: the first DWA tools evolved to address gaps in the development, deployment, and maintenance of data warehouse systems. But just as the role of the data warehouse has changed, so, too, has that of the DWA tool sets that evolved to support it.
In this eBook, you’ll learn why the standard apples-to-apples comparison falls short when you’re looking to upgrade your data warehouse.
This guide contains the information you’ll need to understand and succeed with modern cloud data warehousing.
This brief white paper, by leading industry analyst firm Enterprise Management Associates (EMA), provides advice on using embedded analytics to provide better strategic planning, increased visibility across your organization, and quicker time to value.
Here we present some suggestions for ensuring that your organization is prepared for implementing auditable and reportable compliance with the California Consumer Protection Act of 2018 (CCPA), one of the newest regulations for data protection.
Organizations are charging ahead with investments in cloud and analytics to deliver agility, scalability, and cost savings. With computing power advancements and continuous growth of data, the cloud provides the elastic workloads and flexibility required for modern business. However, the environment of flexibility and choice that the cloud provides also creates complexity and challenges.
The data landscape is quickly changing as companies say goodbye to legacy solutions in favor of a more modern, cloud-based approach to business intelligence (BI) and analytics. Forty-one percent of companies are considering a move to cloud-based analytics in the next year as they look to cut costs, improve efficiency, and enable better decision making at every level of business.
Implementing an analytics platform has shown great promise in growing the strategic value of analytics and in fostering innovation.
With a few clever steps in technology architecture, organizations can deliver timely, essential data to business analysts, BI teams, and data scientists.
This e-book is full of resources to help you launch successful data analytics projects, improve data prep, and go beyond conventional data governance.
The annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights.
In this e-book, you’ll meet fellow CIOs and technology innovators, and you’ll see how organizations of all sizes encounter many of the same daily challenges.
For large organizations with big development teams, DataOps is an antidote to many of the woes that beset IT and development organizations
In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value?
This TDWI Best Practices Report focuses on the emerging world of BI and analytics in the age of AI and big data. The research explores organizations’ satisfaction with current technologies and the issues driving interest in newer solutions that enable organizations to exploit advances in AI and big data.
Research from Forrester shows 12 AI-enabled use cases to help you prioritize CX investments for increased business impact.
The only way to meet today’s challenges is to modernize your data center because older architectures simply can’t keep pace with the rate of change.
Without data literacy, leaders can’t thrive in today’s analytics economy nor can they drive any sort of cultural change toward leading with data across their organizations. Get key insights and frameworks on building a blueprint to driving data literacy in your organization.
We're committed to creating a data-literate world that can transform business and improve society. As part of that vision, we want to share our six-step approach to developing a dynamic data literacy program across your organization.
When you’re using analytics to transform your organization, data governance is essential—but lock-down is a problem. How can you strike a balance between accessibility and trust? With data intelligence software, which helps you take a holistic approach that combines technology and organizational processes.
In this evaluation of multimodal predictive analytics and machine learning (PAML) providers, Forrester Research identified the 13 most significant ones and researched, analyzed, and scored them.
Successfully managing a data center today requires operators to implement infrastructures that integrate with cloud, modern protection, AI, and automation.
Failing to take a holistic approach to your data pipeline may cause you to make critical business decisions based on inaccurate data.
In this book, we look at the key trends driving the modernization of data infrastructure.
In this IDC MarketScape, IDC assesses the present commercial OBS supplier landscape.
Data growth will continue for the foreseeable future. Thus, the need to intelligently govern data will only increase
From Hadoop and Spark to NoSQL and analytics databases, Pentaho allows you to turn big data into big insights.
Companies today are asked to manage the dual challenge of exponential data growth and increased regulation or face fines and long-term damage to their brands.
While everyone has a slightly different definition of big data, Hadoop is usually the first technology that comes to mind in big data discussions.
With all of the attention on machine learning, many are seeking a better understanding of this hot topic and the benefits that it could provide to their organizations. Machine learning—as well as deep learning, natural language processing, and cognitive computing—are driving innovations in identifying images, personalizing customer experiences, navigating self-driving cars, and much more.
When selecting a business analytics platform, it is critical to assess the underlying architecture of the platform.
If you’ve ever shopped on Amazon, Pandora, or Netflix, you’ve experienced recommendation systems in action. Learn how these sophisticated systems analyze historical buying behavior and make recommendations in real time, while you’re shopping.
Next-generation storage systems leverage the power of metadata to better identify, utilize, protect, and control unstructured business data.
Data is at a crossroads. Massive corporations are consolidating our data while many of us advocate for transparency and access for all. It’s time to embrace postmodern analytics for even better performance, deeper insights, and broader participation.
ESG recently completed testing of IBM Watson Studio and Watson Machine Learning, which are designed to enable organizations to accelerate the value they can extract from AI more easily.
If you want to compete in the digital world, you have to find ways to reinvent every aspect of your business. To do that, you need an analytics strategy that gives everyone in your workforce the power to make game-changing discoveries.
In business, foresight is everything. This guide will help you navigate the modern predictive analytics landscape.
Download this e-book to discover the right path to big data success for your business.
In this paper, we examine the hidden costs for modern data protection and recovery operations.
Machine learning in the last few decades has given way to an AI revolution. As the amount of data produced continues to scale, use of algorithms enables faster computational understanding to create new opportunities for innovation. From self-driving cars to virtual assistants, the possibilities for these developing technologies are endless.
IT must efficiently meet modern data protection service levels as organizations undergo transformation and modernization efforts.
Read about big data use cases generating business results for companies today and emerging use cases expected in the near future.
For quite some time, AI has had an allure for improving processes, raising productivity and making both top- and bottom-line impacts on organizations. Advances in data and analytics have enabled early adopters of AI globally across industries to grow beyond experiments and quick hits and provide examples for paths to success with AI.
With the right technology in place, data governance can drive enormous business value and support digital transformation.
Here are seven ways leading Finance departments are driving return on investment with Tableau.
Explore these four steps to learn how to build a modern data architecture with legacy data today.
Learn about the benefits of design once, deploy anywhere systems and explore three real-world examples of how organizations today are leveraging mainframe data in the cloud.
In data visualization, flow is crucial. Your audience should smoothly absorb and use the information in a dashboard without distractions or turbulence. Lack of flow means lack of communication, which means failure.
Despite years of vetting and advances in media measurement, analytics, models and attribution, Forbes research—with over 800 CMOs and 50 subject matter experts—revealed that most CMOs still struggle to quantify and communicate the value marketing creates to their leadership, peers and partners.
The machine learning data catalog has emerged as a key technology enabler for a "single source of reference" -- one place for anyone within the organization to find curated data, understand how that data has been used and why it was created, and trust that it is right for the analysis at hand, whether they are a data scientist, an analyst, or even a casual business consumer of data.
Summary report on a series of benchmarks to determine the relative performance of the Actian Vector in-memory second generation columnar analytics database.
In this whitepaper, we’ll look at what ratings from G2 Crowd really mean and highlight some critical factors when choosing your embedded business intelligence solution.
The crushing problem of managing data in an increasingly complex, hybrid, distributed world is too great for even highly-skilled analysts and scientists to handle alone.
A guide to picking the right data warehouse infrastructure for analytics service providers
Actian Vector is relational database software for data analytics. This paper explains why Actian Vector achieves extremely fast performance for typical data warehouse and data mart workloads.
This e-book lays out essential steps to take and things to consider when beginning an integration project.
How to find the right data catalog
One approach for real-time operational analytics is to leverage hybrid operational and analytic databases by combining operational and analytical workloads.
To learn how organizations are creating enterprise data marketplaces, overcoming their IT challenges, driving key strategies forward and realizing business value, download this eBook!
This white paper explains why you need a hybrid integration platform to address integration challenges in a cloud-first world.
Download this white paper to learn how you can access and trust all your data in the face of changing technology.
Armed with the knowledge of what each embedded solution can do for your product, you will be able to make the best decision for your business.
This paper focuses on an important component of metadata, advanced data lineage. We discuss the many use cases for data lineage and stress the characteristics one should look for in mature data lineage technologies.
Exploring the rise of artificial intelligence, Harvard Business Review has published a collection of articles assessing the opportunities and pitfalls that could evolve.
Download this white paper to learn the beneficial features of a well-implemented data catalog.
Information Builders supports operational BI by allowing thousands of internal and external users to access and analyze operational data.
Download this white paper to learn how IBM InfoSphere Information Server can help banks keep up with the ever-changing regulatory landscape while also driving business value.
This report explores a best-in-class approach to MDM that not only centralizes the management of data but also creates more fluidity in its distribution, supports more oversight of its accessibility, and generates more business value from its usage.
Effective data governance has become a driving factor for businesses seeking to garner the most value out of their data. This paper is intended to help those seeking to benefit from the transformation of data governance.
If your organization carries out business in the European Union, your life is about to become a lot more complicated starting in May 2018. IBM is positioned to help you develop strategies to address the challenges of the GDPR.
With the introduction of the General Data Protection Regulation (GDPR), a new balance will be created between commercial interests and consumer rights around personal and sensitive data. Download this white paper for key steps to consider as you develop your GDPR readiness program.
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.
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.
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.
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.
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.
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.