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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
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
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
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
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
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
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
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
David Menninger shares research details on how real-world organizations are using customer-facing analytics to monetize their data.
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
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
With the announcement of Ventana Research’s 2022 Market Agenda, our expertise in Digital Business continues to advance the market need for effective investments into technology, and I will outline here the key areas of focus to provide insights to or
Ventana Research recently announced its 2022 Market Agenda for Data, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value and improve business outcomes.
Today’s world runs on data, so to succeed organizations must use analytics to understand, plan and improve their operations. Ventana Research is conducting benchmark research to understand how organizations apply analytics to data, producing informat
I recently described how the data platforms landscape will remain divided between analytic and operational workloads for the foreseeable future. Analytic data platforms are designed to store, manage, process and analyze data, enabling organizations t
Organizations analyze the data they collect in a myriad of ways, providing insights and guiding decision-making through mathematics-based metrics. The resulting information can be distributed via traditional reports, visualized in a variety of displa
As I stated when joining Ventana Research, the socioeconomic impacts of the pandemic and its aftereffects have highlighted more than ever the differences between organizations that can turn data into insights and are agile enough to act upon it and t
Many organizations invest in data governance out of concern over misuse of data or potential data breaches. These are important considerations and valid aspects of data governance programs. However, good data governance also has positive impacts on o
I recently described the emergence of hydroanalytic data platforms, outlining how the processes involved in generating energy from a lake or reservoir were analogous to those required to generate intelligence from a data lake. I explained how structu
As businesses become more data-driven, they are increasingly dependent on the quality of their data and the reliability of their data pipelines. Making decisions based on data does not guarantee success, especially if the business cannot ensure that
The various NoSQL databases have become a staple of the data platforms landscape since the term entered the IT industry lexicon in 2009 to describe a new generation of non-relational databases. While NoSQL began as a ragtag collection of loosely affi
Today, organizations understand the importance of good external data that can be integrated with internal data to train machine learning models. Our Machine Learning Dynamic Insights research showed that external data adds a significant value in gain
I recently examined how evolving functionality had fueled the adoption of NoSQL databases, recommending that organizations evaluate NoSQL databases when assessing options for data transformation and modernization efforts. This recommendation was base
Organizations face various challenges with analytics and business intelligence processes, including data curation and modeling across disparate sources and data warehouses, maintaining data quality and ensuring security and governance.
Despite widespread and increasing use of the cloud for data and analytics workloads, it has become clear in recent years that, for most organizations, a proportion of data-processing workloads will remain on-premises in centralized data centers or di
Data mesh is the latest trend to grip the data and analytics sector. The term has been rapidly adopted by numerous vendors — as well as a growing number of organizations —as a means of embracing distributed data processing. Understanding and adopting
I recently described the growing level of interest in data mesh which provides an organizational and cultural approach to data ownership, access and governance that facilitates distributed data processing. As I stated in my Analyst Perspective, data
Improving the quality of information is cited by organizations as the leading benefit of data preparation activities. Data quality efforts are focused on clean data, but increasingly, the importance of bad data is also recognized. To be more accurate
Data governance is an issue that impacts all organizations large and small, new and old, in every industry, and every region of the world. Data governance ensures that an organization’s data can be cataloged, trusted and protected, improving business
I recently wrote about the importance of data pipelines and the role they play in transporting data between the stages of data processing and analytics. Healthy data pipelines are necessary to ensure data is integrated and processed in the sequence r
I recently described how the operational data platforms sector is in a state of flux. There are multiple trends at play, including the increasing need for hybrid and multicloud data platforms, the evolution of NoSQL database functionality and applica
Organizations face a variety of data and analytics challenges resulting from growth and increased scale. Multiple tools and techniques are needed to derive value from various databases. But, adding more systems means adding more complexities, which c
Over a decade ago, I coined the term NewSQL to describe the new breed of horizontally scalable, relational database products. The term was adopted by a variety of vendors that sought to combine the transactional consistency of the relational database
The server is a key component of enterprise computing, providing the functional compute resources required to support software applications. Historically, the server was so fundamentally important that it – along with the processor, or processor core
The data governance landscape is growing rapidly. Organizations handling vast amounts of data face multiple challenges as more regulations are added to govern sensitive information. Adoption of multi-cloud strategies increases governance concerns wit
I recently described the use cases driving interest in hybrid data processing capabilities that enable analysis of data in an operational data platform without impacting operational application performance or requiring data to be extracted to an exte
For many organizations, new technological investment and evolution will be required to facilitate adoption of data mesh. Meanwhile, the concept of the data fabric, a technology-driven approach to managing and governing data across distributed environ
As I recently described, it is anticipated that the majority of database workloads will continue to be served by specialist data platforms targeting operational and analytic workloads, albeit with growing demand for hybrid data processing use-cases a
Data governance has always been a critical part of the data and analytics landscape but was for many years seen as a preventative function that was designed to limit access to data to ensure compliance with security and data privacy requirements.
I previously explained how the data lakehouse is one of two primary approaches being adopted to deliver what I have called a hydroanalytic data platform. Hydroanalytics involves the combination of data warehouse and data lake functionality to enable
I previously described the concept of hydroanalytic data platforms, which combine the structured data processing and analytics acceleration capabilities associated with data warehousing with the low-cost and multi-structured data storage advantages o
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