- About Us
- Expertise
- Research
- Services
- Resources
- Community
- Contact Us
- Join our Community
- Home
Ventana Research provides unique insight into the analytics and business intelligence (BI) industry. This is important, as its processes and technology play an instrumental role in enabling an organization’s business units and IT to utilize its dat
Cognitive computing is only beginning to realize its vast potential; but already uses of critical importance have emerged: battling fatal diseases through better-informed decisions and personalized care; helping individuals gain confidence in their
In order to make wise decisions and build competitve advantage; organizations of all kinds need actionable information - that is; data placed in context so it can support decision-making. Moreover; they need to be able to make today's massive amount
Big data is of immediate relevance to the situation many organizations face today. They need to store; process and use data in significantly greater volumes than ever before. The data comes from a larger number of sources and often differs in kind fr
Applying analytics to big data can help organizations resolve many data-dependent management and operational issues encountered by both business units and the IT groups that support them. But many potential users aren�t sure precisely what big-data a
Applying analytics to big data can help organizations resolve many data-dependent management and operational issues encountered by both business units and the IT groups that support them. But many potential users aren�t sure precisely what
Tools for big-data integration must be able to work with a range of underlying architectures and data technologies that were assessed including data appliances; flat files; Hadoop and in-memory computing as well as conventional database technologies
Ventana Research Big-Data Integration focuses on the issues associated with accessing and using big data efficiently and and using technologies and tools to facilitate these efforts. This research examined the use of big-data integration in the real
Organizations today must utilize many kinds of information to refine their strategy and make smart decisions. Typically this information is stored in a multitude of ready-to-use formats and locations � in-house in enterprise systems; remotely; on th
Location Analytics is defined as the integration; access and use of geographic information and technology to help consumers and businesses to take action and make decisions efficiently and effectively. In addition; using this technology can add value
Cognitive computing is a new category of information technology that combines proven technologies with sophisticated analytical algorithms; natural-language- and machine-based learning and massive computer processing power to yield probabilistic res
The use of Big Data is prevalent in many companies and across industries. But even with all the tools available; there is still critical data that can escape analytics and is nearly impossible to get. Only 14% of companies being able to actually get
With the rise in the use of analytics and big data; companies are dependent on the data they collect. But if the data is not formatted in a way that analytics tools can access and use it; the results produced will be incomplete or inaccurate. This is
Data is an essential asset of all organizations. Its use impacts every aspect of a business; not least of all its profitability. Today's data comes from an array of often incompatible sources; including disparate in-house systems; cloud-based enviro
Data is fuel for today�s businesses; they cannot run without it. Like other types of fuel; it must be processed and made ready to use. Many users; however; are unfamiliar with what is required to ensure that the data available to them meets their re
Predictive analytics is a relatively straightforward idea: It is the use of past data to evaluate the likelihood of future outcomes�.
Data is a critical asset for business; but many business professionals have difficulty in getting to the data they need in a timely fashion. The inability to access data and prepare it for effective business use can impede efficiency in making decis
Organizations of all sizes and in all industries are being deluged by a torrent of data coming from a multitude of sources in many formats. Typically this data is stored in an array of disparate systems. A key technology for processing and analyzing
Organizations today can be overwhelmed by the flood of data they must deal with. This data arrives from many sources and also is generated internally � in both instances; rapidly; continuously and in a multiplicity of formats. Big data technology o
Cognitive systems have now become a reality; and are poised to disrupt long-held views of what computers are capable of. They will enable the emergence of new; highly productive business models; creating opportunities for some while threatening esta
Organizations need access to timely; accurate information to effectively make decisions;compete; and prosper. But doing this remains more art than science. Accommodating to this situation � being able to act faster and smarter relying on fewer human
Organizations need access to timely; accurate information to effectively make decisions;compete; and prosper. But doing this remains more art than science. Accommodating to this situation � being able to act faster and smarter relying on fewer human
The Internet of Things (IoT) is a technology that extends digital connectivity to devices and sensors in homes; businesses; vehicles and potentially almost anywhere. This advance enables virtually any device to transmit its data; to which analytics c
The Internet of Things (IoT) is a technology that extends digital connectivity to devices and sensors in homes; businesses; vehicles and potentially almost anywhere. This advance enables virtually any device to transmit its data; to which analytics c
Ventana Research has completed research to benchmark organizations' use of IT analytics. The research assessed organizational maturity by examining the adequacy of people; process; information and technology competencies required to make the mo
Performance management consists of the strategy; methodologies and processes to manage the performance of an organization and its business network to achieve an agreed-upon set of goals and objectives. It is an undertaking that returns significant v
Enterprises today must cope with huge and rapidly increasing volumes of data generated by more sources more often and in more formats � a veritable flood of data. Contained in this data are valuable insights that can improve the business�s competiti
Big data has gained the attention of organizations seeking previously unavailable insights that help them compete better. Big data encompasses the storage and processing of any type and volume of information; structured or unstructured; arriving at
Many organizations become interested in predictive analytics as a way to enable them to adapt to a changing conditions and increasing pressure to perform. Intense global competition; new ways of conducting business (especially on the Internet) and di
Many organizations become interested in predictive analytics as a way to enable them to adapt to a changing conditions and increasing pressure to perform. Intense global competition; new ways of conducting business (especially on the Internet) and di
Many organizations become interested in predictive analytics as a way to enable them to adapt to a changing conditions and increasing pressure to perform. Intense global competition; new ways of conducting business (especially on the Internet) and di
Predictive analytics is quickly moving out of the shadows into the organizational spotlight. Ventana Research finds that (37%) of companies say that predictive analytics capabilities are very important; yet only(13%) of companies use specific tools t
Analytics; and in particular predictive analytics are a high priority for organizations today; for one simple reason: Those who do not invest in it will fall behind their competitors. Join industry experts Tony Cosentino from Ventana Research and Ja
Consistent; accurate product information is essential to meet the expectations of today�s customers. These demanding consumers want detailed information presented to them through whichever of the various channels; including websites and commerce sys
Deriving value from analytics requires organizations to prepare data for use; but today's explosion of data volumes; types and sources makes this a challenge�.
Deriving value from analytics requires organizations to prepare data for use; but today's explosion of data volumes; types and sources makes this a challenge�.
Deriving value from analytics requires organizations to prepare data for use; but today's explosion of data volumes; types and sources makes this a challenge�.
Integrating cloud-based data with data inside the enterprise is increasingly important to many organizations; yet most rely on exporting data to spreadsheets and text files for this purpose. But these are outdated approaches that cannot provide eith
Self-service business intelligence (BI) is all the rage these days; with self-service generally equated to usability. However; research suggests that effective self-service requires
Data increasingly provides the backbone for all business processes and systems. Thus; the need for accurate; timely information is acute. But as sources and volumes of data increase at unprecedented rates; managing it consistently and keeping data d
Consumer goods is one of the fastest changing industries in business today. The companies that comprise it frequently introduce new products and promotions and must respond with competitive speed to shifting consumer preferences. These market pressu
Geocoding enriches the geographic context of business information; especially for organizations that operate internationally and those in certain vertical industries. The location intelligence it provides can enhance the value of information that va
Cognitive systems have now become a reality; and are poised to disrupt long-held views of what computers are capable of. They will enable the emergence of new; highly productive business models; creating opportunities for some while threatening esta
Sales forecasting has been an inexact science; often depending as much on gut instinct as on data. Two reasons for this imprecision are a lack of pipeline information and a reliance on spreadsheets to create and track forecasts. The alternatives; sal
A new approach to information technology called cognitive computing promises to alter the business landscape by empowering businesses to make their business processes more effective. Relying on natural-language processing and machine-based continuou
Visual discovery enables organizations to visualize large volumes of data to find areas of opportunity and challenge. It provides a more intuitive representation of data than numbers in rows and columns. Visual discovery thus is an important additi
The marketplace is a demanding taskmaster; it insists that a business stay agile and open to new ideas and directions in order to remain competitive. This has very much been the case with location as a customer and operational attribute. With striki
Organizations are making analytics the highest-priority innovation technology. It's no wonder why. The demands placed on businesses today are unprecedented�.
Making optimal use of the huge volumes and varied forms of big data is vital for business success. Big data systems help deal with this challenge; but the data�
Analytic discovery technology enables exploratory analysis that spans multiple data sets of various sizes and structures. It is similar to data science in that both use computer science and statistical techniques
Many Organizations today are applying predictive analytics. 83% of participants in our research said that predictive analytics is important to their organization, and nearly all executives said they consider predictive analytics important.
Today the need to process and analyze the ever larger volumes of data being generated is causing many businesses to consider expanding the capabilities of their business intelligence (BI) systems.
Big data is valuable. Our benchmark research shows that using big data analytics results in better communication, better alignment of the business, a competitive advantage, better responsiveness and decreased time to market. But big data comes in man
Data is essential to every aspect of business, and organizations that use it effectively are likely to gain advantages over competitors that do not. Information derived from this data is essential to address a variety of needs; the most common uses a
Data is essential to every aspect of business, and organizations that use it effectively are likely to gain advantages over competitors that do not. Information derived from this data is essential to address a variety of needs; the most common uses a
Natural language processing, including natural language queries and natural language generation, change the way users can interact with data and information. For decades BI and analytics meant tables of numbers supplemented with charts and graphs. Mo
While the Internet of Things (IoT) may still be unfamiliar to many consumers, businesses are well aware of its potential. More than 90% of participants in our research said that IoT is important to their future operations. Most said they view IoT as
Product information management (PIM) landscape has changed drastically over the last few years, and many businesses are still trying to grapple with it.
Cloud computing is a major technology innovation. Many companies already use the cloud for business functions such as customer service sales marketing finance and human resources. Analytics and BI however have not migrated to the cloud as quick
Cloud computing is a major technology innovation. Many companies already use the cloud for business functions such as customer service sales marketing finance and human resources. Analytics and BI however have not migrated to the cloud as quick
Cloud computing is a major technology innovation. Many companies already use the cloud for business functions such as customer service sales marketing finance and human resources. Analytics and BI however have not migrated to the cloud as quick
Cloud computing is a major technology innovation. Many companies already use the cloud for business functions such as customer service sales marketing finance and human resources. Analytics and BI however have not migrated to the cloud as quick
"Cloud computing is changing how businesses access and use technology to innovate. It facilitates sharing of applications across the organization through various systems and collaboration on key issues and tasks. Cloud computing also enables organiz
Managing performance effectively requires that a company be able to provide executives managers and employees with accurate timely information and make it possible for them to work interactively with that information...
Dashboards combine and display information from various parts of an organization to create views of its overall status or of a particular function. For example, a dashboard of sales performance might include information about sales closed, leads gene
Data lakes are important. They provide organizations the opportunity to analyze data from all sources not just one and they allow organizations to analyze data at any level of detail. These analytical capabilities enable organizations to improve busi
David Menninger shares research details on how real-world organizations are using customer-facing analytics to monetize their data.
The process of geocoding increases the quality of business information by augmenting geographic references to fully support operations and decision-making. Without the dimension added by geocoding, operational risk increases, business cycles are wast
Organizations around the world valiantly try each year to make it through another compensation planning cycle relying on spreadsheets. However, increasingly complex compensation process requirements make it more and more difficult for organizations t
The transition to cloud computing has introduced new challenges for organizations seeking to satisfy the next generation of business requirements for digital transformation. Doing this is not simple; the reality is that the many disparate cloud-relat
Data lakes can provide organizations significant value and help them improve their business processes. They provide the data needed by an organization to have a complete picture of its operations and its customers allowing it to stay ahead of its com
This presentation by Ventana Research's David Menninger shares research details on the benefits of scalable, secure and deployment-ready platform approach to data science vs. one-off tool, proven architectures, capabilities and approaches that help k
Hadoop 3 is the third major revision of the big data distributed computing framework. The enhancements provide additional scalability and high availability features. They also enable new workloads involving artificial intelligence, machine learning a
Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected both grow. Data now streams into organizations from a variety of sources such as social media feeds and internet of thing
Relational database technology first appeared almost a half-century ago and for decades the database market appeared to be consolidating around the use of relational databases for most types of workloads, even if it wasn’t very well suited to some of
Data lakes, also called data hubs, offer a way to manage big data and make it available for analysis. A data lake combines massive storage capabilities for any type of data in any format with the processing power needed to transform and analyze the d
When a resource is important to a business, they watch over it: measure it, manage it, make sure it benefits them.
In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends.
Ventana Research recently announced its 2020 research agenda for data, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value and improve business outcomes.
Effectively managing data privacy and security is a high-stakes matter.
I was recently asked to identify key modern data architecture trends.
MicroStrategy recently held its annual user conference, which focused on the theme of the “Intelligent Enterprise.”
Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase.
Alteryx Inspire 2019, this year's user conference for Alteryx, drew around 4500 customers, partners, and prospects to Nashville’s Gaylord Opryland Resort & Convention Center in Tennessee last month.
This year, I attended Informatica World 2019, Informatica's annual user conference.
Summit 2019, Information Builders' annual user conference, drew about 1000 attendees this year, including customers, partners and prospects all working with Information Builders' technologies.
Qonnections 2019 is Qlik's annual user conference. Key news from this year's conference centered on acquisitions of Podium Data and Attunity, along with an expansion of certifications on Google Cloud Platform, AWS, and Azure, with the ability to supp
Organizations now must store, process and use data of significantly greater volume and variety than in the past.
Organizations today need to rely on data more than at any point in the past. This is because understanding the details of your business operations can mean the difference between success and failure.
For decades, data integration was a rigid process. Data was processed in batches once a month, once a week or once a day. Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to mak
Today’s fast-paced world requires responsiveness in all types of interactions with customers, prospects, partners and employees. Organizations must be able to respond in the moment or risk missing the opportunity altogether. To do this, the systems a
Streaming data will be transformative to the future of financial services organizations. It can provide the critical, timely information needed to deliver world-class customer service, detect and prevent fraud, tie together disparate legacy systems o
Streaming data is transforming how insurance companies provide their services. It can offer critical information needed to underwrite risks with better information, detect and prevent fraudulent claims, deliver world-class customer service and tie to
Streaming data is transforming how retailers operate. Retail’s evolution from brick-and-mortar to omnichannel has provided organizations with better information about customer behavior while also increasing the expectations of consumers regarding the
A data lake is a centralized repository designed to house big data in structured, semi-structured and unstructured form.
Ventana Research has awarded Molecula its 2020 Digital Innovation Award for Data. This award acknowledges the technology vendor that best exemplifies innovation in data and associated technologies for supporting information management-related needs.
For decades, organizations have recognized the need to perform analyses that draw upon information from various parts of an organization. Product profitability analyses require production costs, selling costs and customer service costs.
For a variety of reasons, organizations are moving their workloads to the cloud. Our research shows that one-third of organizations have their primary data lake platforms in the cloud and most organizations (86%) expect the majority of their data to
Organizations are always looking to improve their ability to use data and AI to gain meaningful and actionable insights into their operations, services and customer needs.
Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.
Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever.
Organizations are dealing with exponentially increasing data that ranges broadly from customer-generated information, financial transactions, edge-generated data and even operational IT server logs.
Data is becoming more valuable and more important to organizations. At the same time, organizations have become more disciplined about the data on which they rely to ensure it is robust, accurate and governed properly.
Ventana Research has announced its market agenda for 2021, continuing the tradition of transparency in our efforts to educate and guide the technology market but also our independence as we do not share our market agenda or analyst perspectives with
Ventana Research recently announced its 2021 Market Agenda for data, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value and improve business outcomes.
Organizations are accelerating their digital transformation and looking for innovative ways to engage with customers in this new digital era of data management.
Organizations are becoming more and more data-driven and are looking for ways to accelerate the usage of artificial intelligence and machine learning (AI/ML).
This report evaluates the following vendors that offer products that deliver analytics and BI as we define it: Amazon.com Inc., Board International, Domo, Infor, Information Builders Inc., IBM, Google LLC, Microsoft Corporation, MicroStrategy, Oracle
This report evaluates the following vendors that offer products that deliver analytics and BI as we define it: Amazon.com Inc., Board International, Domo, Infor, Information Builders Inc., IBM, Google LLC, Microsoft Corporation, MicroStrategy, Oracle
This report evaluates the following vendors that offer products that deliver embedded analytics and business intelligence as we define it: Amazon.com Inc., Board International, Domo, Google LLC, Infor, Information Builders Inc., IBM, Microsoft Corpor
The amount of data flowing into organizations is growing exponentially, creating a need to process more data more quickly than ever before.
Machine learning is valuable for organizations, but it can be hard to deploy. Our Machine Learning Dynamic Insights research identifies that not having enough skilled resources and difficulty building and maintaining ML systems are pressing challenge
Everyone talks about data quality, as they should. Our research shows that improving the quality of information is the top benefit of data preparation activities.
Master data management (MDM) as a discipline has been around for decades. And MDM software has been evolving over time to help organizations meet their changing data requirements. But if your understanding of MDM software is even a little bit dated,
Alation recently announced the release of its 2021.1 version, introducing new data governance capabilities, enhancements in search and discovery through data domains, and extended connector and query coverage for data sources.
External data can be valuable to many organizations for a variety of reasons. It can be used by planning and operations teams to benchmark an organization’s financial or operational performance. It can enrich the data an organization collects and ana
Teradata introduced some enhancements to its Vantage platform last year in which they expanded its analytics functions and language support, and strengthened tools to improve collaboration between data scientists, business analysts, data engineers an
Master data management (MDM) is critical to ensuring that your organization has the clean, consistent data needed to operate efficiently and effectively. Excellent customer experiences and effective omnichannel engagement often depend on enrichment w
Human Resources and Finance are critical business functions. Engaging with the analytics associated with these areas will help improve business operations, but in many cases traditional data warehouses and analytics are so disconnected from the busin
We are happy to share some insights about Innovit MDM drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
For too long, data governance has been about preventing people from doing things with data. Yes, restrictions and controls over data are absolutely necessary and should be part of every organization’s information architecture. These controls are nece
Confluent Platform is a streaming platform built by the original creators of Apache Kafka. It enables organizations to organize and manage streaming data from various sources. Confluent launched its IPO in June this year and raised $828 million to fu
The anticipated benefits of cloud computing have encouraged organizations to accelerate adoption of cloud-based applications and services. Data and analytics are no exception, especially as more and more of an organization’s data resides in the cloud
Master data management (MDM) is critical to ensuring that your organization has the clean, consistent data needed to operate efficiently and effectively. Excellent customer experiences and effective omnichannel engagement often depend on enrichment w
Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, mo
Collibra is a data governance software company that offers tools for metadata management and data cataloging. The software enables organizations to find data quickly, identify its source and assure its integrity.
The age of data is here, and the value of all that data to organizations continues to increase. Data has, in fact, become integral to an organization’s ability to grow and thrive. So, it is essential that organizations tap into every available source
Data governance is a hot topic these days. In fact, we are conducting benchmark research on the subject here. With increasing regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), organizati
For years data governance has been challenging for organizations. There have been too many different data-related technologies to manage and too many manual processes involved. As a result, data governance policies were restrictive and interfered wit
The technology industry throws around a lot of similar terms with different meanings as well as entirely different terms with similar meanings. In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to high
Access to external data can provide a competitive advantage. Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. The most important external dat
External data can be valuable to many organizations. It can enrich the internal data that an organization collects and analyzes about its customers, prospects and partners. Planning and operations teams can benchmark an organization’s financial or op
When you think about it, events are at the very core of computing, right down to the simplest if-then operation in a spreadsheet. Each event leads to a set of choices, often binary, which then become events in themselves.
Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models.
The virtualization of business and the evolution of digital transformation to applications and systems that operate in cloud computing — or the “as-a-service” environment — has fragmented enterprise and data architectures.
The age of data is here, and all that data has become integral to an organization’s ability to grow and thrive. However, companies struggle with combining data science and technological advancements to establish data intelligence that is unified, sop
The availability of real-time data is changing the way we live and the types of systems we build. Organizations need more immediacy in their operations. Nearly half the participants in our Internet of Things research study indicated that it was essen
Enterprises looking to adopt cloud-based data processing and analytics face a disorienting array of data storage, data processing, data management and analytics offerings.
With more and more data available to analyze, organizations are realizing the value that sophisticated analyses using artificial intelligence and machine learning (AI/ML) can provide. The benefits of these analyses are significant: our Dynamic Insigh
The need for a COVID-19 vaccination “passport” has prompted some to suggest using blockchain technology as a means of reliably verifying an individual’s status at an international level.
Breaking into the database market as a new vendor is easier said than done given the dominance of the sector by established database and data management giants, as well as the cloud computing providers. We recently described the emergence of a new br
It has been clear for some time that future enterprise IT architecture will span multiple cloud providers as well as on-premises data centers. As Ventana Research noted in the market perspective on data architectures, the rapid adoption of cloud comp
Data Catalogs are fundamentally changing the way organizations think about and manage their data.
Data platforms are designed to manage and analyze big data, enabling organizations to leverage their data to operate with greater efficiency across on-premises, hybrid and multi-cloud environments. Our Analytics and Data Benchmark Research finds that
The annual Ventana Research Digital Leadership Awards recognize organizations and individuals that utilize technology to advance business and IT. The Digital Leadership Awards showcase the professional leadership and their use of business application
Digital transformation efforts are widespread, with most organizations focusing on the innovative use of data. Business users demand real-time, integrated analytics deployed through a unified platform with built-in machine learning (ML) that delivers
Join the Ventana Research Community, and we'll keep you informed on our latest research.
©2022 Ventana Research | All Rights Reserved | Privacy Statement | Design by W3layouts | Icons by FontAwesome