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Prevedere planning software helps organizations create forward-looking predictive models that help mitigate risk and navigate market volatility.
The 2023 Market Agenda for Analytics spotlights how organizations can utilize this high-value digital tool to drive performance and operations.
Embedded analytics should be deployed as part of an approach that includes investments into technologies that make analytics easier to use.
Oracle Analytics Cloud is a unified platform that manages analytics and business intelligence across multiple environments and devices.
Decision intelligence is an emerging concept for integrating business data to compare the implications, likelihood and risks of different scenarios.
The Kyligence Zen platform creates and manages metrics in a semantic model, providing the discipline to improve analytics and governance processes.
As organizations strive to be more data-driven, increasing their reliance on data as a fundamental factor in business decision-making, the importance of the analytic data platform has never been greater.
A lack of specialized skills prevents most organizations from utilizing AI/ML; the answer is to invest in both automated analytics and data scientists.
The migration to cloud and hybrid platforms is changing the way organizations handle analytics.
BD earned the 2022 Annual Digital Leadership Award in Analytics for using ThoughtSpot’s embedded analytics engine to advance insights into patient care.
Organizations that bring self-service and embedded analytics to their workforce increase the value of their data and enhance overall productivity.
Sainsbury’s earned the Ventana Research 2022 Overall Digital Leadership Award for its work with MicroStrategy to transform and democratize analytics.
IBM’s analytics technology simplifies data access for self-service applications, producing business decisions informed by insights, not guesswork.
Organizations collect vast amounts of data every day, utilizing business intelligence software and data visualization to gain insights and identify patterns and errors.
When organizations adopt best practices to connect their data and analytics efforts, it maximizes the value of the data and promotes peak performance.
MLOps helps streamline processes necessary to deploy and maintain artificial intelligence/machine learning models.
MicroStrategy’s analytics and BI software turns data into analytical applications, delivering greater business intelligence through improved data solutions.
Celonis offers an execution management system platform to enhance business performance by locating and fixing process issues.
Process mining is defined as the analysis of application telemetry including log files, transaction data and other instrumentation to understand and improve operational processes.
Organizations need a broad range of analytics to make data-driven business decisions that give them a competitive advantage. But in the face of data complexity challenges, it can be a struggle to make sense of what’s actually going on across the busi
Business intelligence has evolved. It now includes a spectrum of analytics, one of the most promising of which has been described as augmented intelligence. Some organizations have used the term to describe the practical reality that artificial intel
With the increasing exodus from on-premises solutions, organizations are migrating towards cloud computing for data analytics. Cloud computing supports rapid growth, collaborative analysis and real-time insights without requiring large capital invest
Organizations are managing and analyzing large datasets every day, identifying patterns and generating insights to inform decisions. This can provide numerous benefits for an organization, such as improved operational efficiency, cost optimization, f
When I looked at the state of analytics recently, it was clear that analytics are not as widely deployed within organizations as they should be. Only 23% of participants in our Analytics and Data Benchmark Research reported that more than one-half of
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.
In this webinar, David Menninger, SVP and Research Director of Analytics and Data Research at Ventana Research, will share his insights on the analytics market and an understanding on how to successfully evaluate existing and potential new vendors.
In an ideal world, all employees serving across all job functions would be able to access and analyze all the information they need with ease.
In many cases traditional data warehouses and analytics are so disconnected from the business applications that it is difficult to use them to make well-informed decisions.
All organizations are becoming data driven today. The key question is how to use your data to improve your bottom line.
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
Early telephony-based call centers were built using proprietary on-premises systems. As companies added additional channels of engagement, call centers evolved into contact centers. Today vendors are providing cloud-based contact centers that manage
The digital age of data has dramatically transformed organizations by providing the insights that are necessary to confidently make decisions and take action.
Today’s fast-paced world requires responsiveness in all types of interactions with customers, prospects, partners and employees.
The analytics and business intelligence market landscape continues to grow as more organizations seek robust tools and capabilities to visualize and better understand data. BI systems are used to perform data analysis, identify market trends and oppo
Dave Menninger of Ventana Research answers questions and shares research on the adoption of cloud-based analytics. He addresses the latest trends and best practices for helping organizations adopt cloud analytics including the role that AI and IoT pl
This we already know: Data is moving to the cloud. As cloud applications have been adopted, this has meant that many critical sources of data for analytics now or soon will live in the cloud.
Revenue growth is a key indicator of competitive success. This is a given, yet for many companies, competing successfully is becoming more difficult.
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
The ultimate objective of analytics in organizations is to improve operations with better, fact based decision making. But doing so requires that decisions are made within the proper context so they are relevant and accurate.
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.
Artificial intelligence and machine learning (AI/ML) are extremely valuable to organizations. Our research shows that AI/ML help organizations gain a competitive advantage and improve customer experiences, and have a direct impact on the bottom line,
Contact centers generate an enormous amount of data in the course of handling customer interactions. Every connection and call are tracked, creating a web of information that includes details of what happened, when it happened, who participated, and
Organizations today increasingly are choosing to store their data and perform their analyses in the cloud. Our research finds that almost one-half (49%) of organizations are already using cloud-based analytics systems, and data is being migrated to t
Due to the importance of workforce and financial insights to overall business operations, improvements an organization can make to the analytics capabilities within the Human Resources and Finance functions will have wide-ranging impacts for the enti
Line-of-business personnel in today’s organizations increasingly have high expectations for how they can use data as they carry out their responsibilities. They want contextual, role-specific information delivered to them at the optimal point of impa
As data volumes and data velocities increase, more and more decisions involving that data are being made using artificial intelligence and machine learning (AI and ML) technologies. However, operationalizing AI and ML models requires a dynamic, moder
For decades, organizations have recognized the need to perform analyses that draw upon information from various parts of an organization.
Analytics are critical to the efficient and effective operation of most modern organizations; to that end, trusted analytics require trusted data.
Accurate data is critical for business processes and operations. Billing customers, for example, requires accurate information regarding the product or service, prices, customer names and addresses and personnel authorized to use the product or servi
Artificial Intelligence and Machine Learning (AI/ML) have quickly become difference makers for organizations looking to develop a competitive advantage.
The use of artificial intelligence (AI) that harnesses machine learning (ML) will be the single most important trend in business software this decade because it can multiply the investment value of such applications and provide software companies an
In today’s dynamic business environment, organizations cannot fly blindly and expect to succeed. There is a trove of internal and externally sourced data available to organizations that can and should be used to improve decision-making.
Apache Spark and massively parallel processing (MPP) analytical databases are designed for different things. The first generation of “big data” architectures relied upon the distributed Hadoop and MapReduce framework for analytical processing. This f
Integrating cloud-based data with data inside the enterprise is increasingly important to many organizations, yet many rely on exporting data to spreadsheets and text files for this purpose. But these are outdated approaches that cannot provide eithe
Robotic Process Automation (RPA) has evolved considerably beyond its original purpose of automating routine tasks to become a core technology for the intelligent automation of all parts of an organization, from the front office to the back office.
Self-service analytics is a goal for most organizations, but in many cases it has not become a reality. Just two out of five organizations (40%) report that users can analyze data without the assistance of IT. Yet those who are able to operate withou
Business analytics today involves far more than reports and spreadsheets. But despite significant investments in business intelligence (BI) software, many midsize banks continue to operate with a limited set of analytic capabilities, focused largely
Mobile devices have become part of our lives. Two-thirds of the world’s population is connected via one of these devices and 2017 saw more than 5 billion mobile subscribers around the world, according to the trade organization GSMA.
The purpose of planning is not planning; it is decision making. And the purpose of reimagining operational planning as a continuous, connected process is to deliver business value, making these processes faster, more agile and more intelligent so tha
For decades, analytics have been separated from the business processes they are intended to support, primarily because productivity tools and applications that help workers complete their tasks have required IT intervention. Since the very purpose of
Futurists and software vendors have been pointing to a day when artificial intelligence (AI) using machine learning (ML) will perform miracles such as providing life-saving diagnoses and recommending treatments for even rare diseases in seconds.
Operations are continuous in most organizations today and so too is the data these operations generate.
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.
Attaining the level of success your organization deserves today requires mobile applications that can enable workers to fulfill their role and responsibilities at any time and any place with smartphones and tablets.
Organizations face increasing competition and compressed time frames that require intelligent use of all available data.
I often use the term “analytics” to refer to a broad set of capabilities, deliberately broader than business intelligence. In this Perspective, I’d like to share what decision-makers should consider as they evaluate the range of analytics requirement
Organizations are proving that artificial intelligence (AI) is valuable. Our research shows that the most common benefits reported by participants include gaining competitive advantage and improving customer experiences.
Manufacturers today recognize the relationship between production quality and the bottom line. Quality is integral to overall operational processes and yields.
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.
To gain the full benefit of the insights analytics can deliver, organizations need to embrace a new approach, one that will make the analytics not only useful but meaningful to each individual whose work can benefit from them.
The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications as well as technology that contributes significantly to the improved processes and performance of an organization. Our
Organizations are collecting vast amounts of data every day, utilizing business intelligence software and data visualization to gain insights and identify patterns and errors in the data. Making sense of these patterns can enable an organization to g
Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights. Our Analytics and Data Benchmark Research shows some of the benefits of using analytics: Improved efficienc
I’ve never been a fan of talking about semantic models because most of the workforce probably doesn’t understand what they are, or doesn’t recognize them by name.
Organizations are constantly trying to streamline and optimize business data to solve complex problems and identify opportunities to increase revenue and accelerate business growth.
Our Analytics and Data Benchmark Research finds some of the most pressing complaints about analytics and BI include difficulty integrating with other business processes and flexibility issues.
There is a fundamental flaw in information technology, or at least in the way it is most commonly delivered. Most technology systems are developed under the assumption that all people will use the system primarily in the same way. Sure, there are som
Organizations have been using data virtualization to collect and integrate data from various sources, and in different formats, to create a single source of truth without redundancy or overlap, thus improving and accelerating decision-making giving t
I have written previously that the world of data and analytics will become more and more centered around real-time, streaming data. Data is created constantly and increasingly is being collected simultaneously.
For years, maybe decades, we have heard about the struggles between IT and line-of-business functions. In this perspective, we will look at some of the data from our Analytics and Data Benchmark Research about the roles of IT and line-of-business tea
Natural language processing (NLP) is a field that combines artificial intelligence (AI), data science and linguistics that enables computers to understand, interpret and manipulate text or spoken words. NLP includes generating narratives based on a s
Despite all the advances organizations have made with respect to analytics, our most recent research shows the majority of the workforce in the majority of organizations are not using analytics and business intelligence (BI).
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
Organizations of all sizes are dealing with exponentially increasing data volume and data sources, which creates challenges such as siloed information, increased technical complexities across various systems and slow reporting of important business m
Ventana Research recently announced its 2022 Market Agenda for Analytics, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments in order to 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
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
Organizations today have huge volumes of data across various cloud and on-premises systems which keep growing by the second. To derive value from this data, organizations must query the data regularly and share insights with relevant teams and depart
Few trends have had a bigger impact on the data platforms landscape than the emergence of cloud computing. The adoption of cloud computing infrastructure as an alternative to on-premises datacenters has resulted in significant workloads being migrate
Organizations today are working with multiple applications and systems, including enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM) and other systems, where data can easily become fragmented and
The annual Ventana Research Digital Leadership Awards recognize organizations and individuals that utilize technology to advance business and IT.
Industry challenges from demand, to supply chain latency, to fulfillment have created significant impediments for retailers, vendors, suppliers and customers across the globe, without a clear end in sight. Organizations that use digital technology to
The need for data-driven decision-making requires organizations to transform not only the approach to business intelligence and data science but also accelerate the development of new operational applications that support greater business agility, en
The term NoSQL has been a misnomer ever since it appeared in 2009 to describe a group of emerging databases. It was true that a lack of support for Structured Query Language (SQL) was common to the various databases referred to as NoSQL. However, it
Data lakes have enormous potential as a source of business intelligence. However, many early adopters of data lakes have found that simply storing large amounts of data in a data lake environment is not enough to generate business intelligence from t
As I noted when joining Ventana Research, the range of options faced by organizations in relation to data processing and analytics can be bewildering. When it comes to data platforms, however, there is one fundamental consideration that comes before
For decades, analytics have been separated from the business processes they are intended to support, primarily because productivity tools and applications that help workers complete their tasks have required IT intervention.
TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides t
Organizations have become more agile and responsive, in part, as a result of being more agile with their information technology. Adopting a DevOps approach to application deployment has allowed organizations to deploy new and revised applications mor
Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.
In an ideal world, all employees serving across all job functions would be able to access and analyze all the information they need with ease. Unfortunately, today most analytics technologies still require specialized skills and expertise. As a busin
Our research shows that nearly all financial service organizations (97%) consider it important to accelerate the flow of information and improve responsiveness.
How does your organization define and display its metrics? I believe many organizations are not defining and displaying metrics in a way that benefits them most.
The artificial intelligence industry is unique in that it has evolved to the point of making dramatic impacts across other markets.
Artificial intelligence and machine learning (AI/ML) are extremely valuable to organizations. Our research shows that AI/ML help organizations gain a competitive advantage and improve customer experiences, and have a direct impact on the bottom line,
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
Organizations are proving that artificial intelligence (AI) is valuable. Our research shows that the most common benefits reported by participants include gaining competitive advantage and improving customer experiences. Participants also report bein
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
Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze an
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
Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations.
Gain insights on the analytics market and an understanding on how to successfully evaluate existing and potential new vendors.
The ultimate objective of analytics in organizations is to improve operations with better, fact based decision making. But doing so requires that decisions are made within the proper context so they are relevant and accurate. This context includes th
The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization.
The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our
Event data can be used to enhance existing processes, but it can also be used to dramatically impact operations, revenue models and the bottom line for manufacturers. Our Benchmark Research shows 95% of manufacturers consider it important to speed th
I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The 2021 Ventana Research Value Index: Collaborative Analytics and Data is the distillation of a year o
I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The 2021 Ventana Research Value Index: Embedded Analytics and Data is the distillation of a year of mar
We are happy to share some insights about Amazon QuickSight drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about ThoughtSpot drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about Google Looker drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about TIBCO Spotfire drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about Sisense drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about Infor Birst drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about Microsoft Power BI drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about Tableau drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about SAS drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
Data is moving to the cloud. As cloud applications have been adopted, this has meant that many critical sources of data for analytics now or soon will live in the cloud. In fact, almost two-thirds (61%) of participants in our research reported that t
We are happy to share some insights about SAP drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about Board International drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about Yellowfin drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about Domo drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about Oracle Analytics Cloud drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
Apache Spark and massively parallel processing (MPP) analytical databases are designed for different things. The first generation of “big data” architectures relied upon the distributed Hadoop and MapReduce framework for analytical processing. This f
We are happy to share some insights about Qlik drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about Information Builders’ WebFOCUS Business Intelligence and Analytics Platform drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about MicroStrategy drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
We are happy to share some insights about IBM drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
In practical reality, “analytics” comprises many types of analysis, including reporting, visualization, planning, real-time processes, artificial intelligence and machine learning (AI/ML), and natural language processing. The analytics continuum must
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
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
Process-mining software isn’t exactly new, but it’s also not widely known in the software technology market. The discipline has been around for at least a decade, but is generating more interest these days with both specialist vendors and major enter
Having just completed the 2021 Ventana Research Value Index for Analytics and Data, I want to share some of my observations about how the market has advanced since our assessment two years ago.
I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Data 2021 is the distillation of a year of market and p
Organizations are increasingly using data as a strategic asset, which makes data services critical. Huge volumes of data need to be stored, managed, discovered and analyzed.
Ventana Research recently announced its 2021 market agenda for Analytics, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.
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
The industry is making huge strides with artificial intelligence (AI) and machine learning (ML). There is more data available to analyze. Analytics vendors have made it easier to build and deploy models, and AI/ML is being embedded into many types of
Manufacturers today recognize the relationship between production quality and the bottom line. Quality is integral to overall operational processes and yields. Increasing output without maintaining quality results in higher costs in the form of rewor
Every organization performing analytics with multiple employees needs to collaborate. They should be collaborating in the analytics process and in communicating the results of those analyses.
Ventana Research has awarded Oracle Day by Day its 2020 Digital Innovation Award for Analytics. This award recognizes the technology vendor that best exemplifies innovation in the application of analytics.
Analytics and artificial intelligence (or AI) are different. Both are valuable and your organization should have a plan to provide both types of capabilities, but don’t expect that AI-based analyses will be a natural extension of your traditional ana
Ventana Research has been evaluating analytics and business intelligence (BI) software for a long time—almost 20 years. Our methodology for these assessments is referred to as a Value Index.
All organizations are becoming data driven today. The key question is how to use your data to improve your bottom line. Organizations need to look beyond the data from a single department and instead combine data from across the organization (and fro
Modern analytics should be delivered in a way that improves the digital experience and minimizes line-of-business dependence on IT resources. Cloud-based applications enable line-of-business functions to access analytics almost immediately and to acc
It’s time to rethink analytics processes to minimize or eliminate roadblocks so that organizations can use data to make decisions more easily and more quickly.
For analytics to be effective, they need to be available to line-of-business personnel as needed in their normal course of conducting business, which today means providing rich mobile access to analytics through phones and tablets to support a mobile
Data and analytic workloads are moving to the cloud. Organizations need a flexible architecture to support hybrid, multi-cloud and on-premises deployments.
Effectively managing data privacy and security is a high-stakes matter.
Artificial intelligence (AI) and machine learning (ML) are all the rage right now.
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.
To take advantage of increasing data velocities, organizations must adopt architectures, tools and workflows that support automated and continuous analyses.
Packaged analytic applications help line-of-business personnel at all levels of the organization improve the effectiveness of their business operations by providing accessible KPIs, metrics and related analytics to enable better and faster decision-m
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