Inside Analysis

Archived webcasts

The Briefing Room with Looker and The Bloor Group The push and pull of business dynamics often calls for new ways of doing things. So it is with data! Long a "push" model with small groups choosing which data and analysis the business got; we're now in a "pull" period, as growing numbers of analysts seek to better understand complex, far-flung enterprises, often via self-service. Add to this the increasingly real-time nature of analytics, which requires a much different approach than traditional BI. Success in this new world requires a modern data stack. Advanced data warehousing plays a role, but the landscape is much bigger now, with countless new sources, structured and unstructured. Register for this episode of The Briefing Room t...    See details...
The Briefing Room with Eric Kavanagh and Okera News travels fast, and so does data! In today's business world, organizations must find ways to reinvent themselves, often quickly. Data is a critical success factor, but only when it's leveraged at scale, and responsibly. A good Chief Data Officer can help make that happen, opening new opportunities, while also avoiding the unpleasant headlines of data breaches. Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain why the CDO is now a must-have. He'll be briefed by Nong Li of Okera, who will show how his company's software solves several critical data challenges, including access, governance, security and policy management - all of which can opera...    See details...
The Briefing Room with Boss Insights and The Bloor Group When you know better, you do better. That's especially true in banking, where critical data can make or break lending decisions. Traditionally, lenders focused on a handful of key metrics, such as cashflow-to-payments: Will the borrower be able to pay back the loan? But these days, vastly more data can be leveraged, improving the chances of success, while also facilitating better banking relationships. Register for this episode of The Briefing Room to hear financial services veteran, David S. Greenough, former SVP for the Global Association of Risk Professionals, as he explains why the data game has entered a whole new phase. He'll be briefed by Keren Moynihan of Boss Insights,...    See details...
The Briefing Room with Ataccama and The Bloor Group Cars, trucks, even ships these days can drive themselves, thanks to a confluence of innovations in artificial intelligence and automation. So, why not data management? The truth is, we're already there. As most data managers and scientists know, many of the steps in preparing data can be automated; the challenge often occurs where rubber meets road. How can you excel? Register for this special episode of The Briefing Room to find out! A panel of experts from around the world will share perspectives on where we are, and where the industry is going. Presenters include Dion Hinchcliffe, internationally renowned expert from Constellation Research; Yves Mulkers, pioneer of Europe's 7wData...    See details...
The Briefing Room with MariaDB and The Bloor Group More than ever, businesses need quality analytics to optimize their processes. In a post-COVID world, with so many success metrics in flux, decision-makers at all levels require data-driven insights to make the right call. Latency is key: real-time data is required for many business needs. Historically, such solutions would require a host a high-priced software products; but the era of hybrid transactional/analytical processing (HTAP) has arrived! Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain how a new generation technology is reshaping what's possible. He'll be joined by Shane Johnson, Senior Director of Product Marketing at MariaDB, who...    See details...
The Briefing Room with Eric Kavanagh and BMC The power of predictive models hinges on the quality of data they use, both for training and production. Orchestrating the data pipelines that feed machine-learning algorithms is therefore a critical success factor for data science. This is especially true for solutions that rely on diverse data sets. And as many practitioners recently learned, disruptions like COVID19 can wreak havoc on the efficacy of such models. Agility is therefore paramount. Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain why data science programs must embrace intelligent automation and orchestration. He'll be joined by Basil Faruqui of BMC Software, who will demonstrate w...    See details...
The Briefing Room with The Bloor Group and DataStar One bad record spoils the tranche! Data scientists and frontline managers alike know from hard experience that there's always that one file which just won't cooperate. Sometimes, it just won't load. Other times, the loaded file will generate Chinese characters where customer data was expected. Or maybe it just takes so long to load that the whole data pipeline is thrown off. Register for this episode of The Briefing Room to hear veteran Data Scientist, Dr. Geoffrey Malafsky explain how his company's DataStar product was built to solve these "Bad Data" issues at scale. With a purpose-built architecture that leverages massive parallel processing against a vast library of known anomalie...    See details...
The Briefing Room with Metric Insights The whole point of BI and Analytics is to generate business value, but success in this field requires a careful approach. A quality data program will be: Practical, Accurate, Thoughtful and Holistic. It will be practical in that program managers will be realistic about their goals; accurate in terms of data quality; thoughtful with respect to users; and holistic in its overall approach. Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain why organizations should do a gut check, and figure out how to optimize the value of existing BI and Analytics investments. He'll be joined by Marius Moscovi of Metric Insights, who will explain how his company's BI Portal...    See details...
Presto is a widely adopted federated SQL engine that data platform teams use to perform ad-hoc querying of data in place. Facebook donated prestoDB, the original Presto project to the Linux Foundation to create the Presto Foundation. Other members include Uber, Twitter, Alibaba & Alluxio. Ahana, the Presto-based analytics company recently joined the Foundation as well. In this round table moderated by Eric Kavanagh, panelists will discuss all aspects of building a thriving open source community around PrestoDB including, why Presto is so popular, the problems Presto solves, the open source model the foundation follows, why governance and transparency are so important to an open source community and finally, what the community looks for i...    See details...
The Briefing Room with Magnitude Software and The Bloor Group Disruptions occur, sometimes in epic fashion. For the unprepared organization, or even the underprepared, such events can be devastating. One key to success in turbulent times is agility: being able to pivot quickly and effectively, to a new revenue source, a leaner way of working, or a more profitable business model. What's a savvy business person to do? Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain why force functions like #COVID19 can be blessings in disguise, at least to the agile-minded. He'll be joined by Craig Chaplain of Magnitude Software, who will demonstrate how his company's connectivity solutions can help companies...    See details...
Future Proof with Patrick McFadin of DataStax Everyone knows that feeling when you're really in the zone. Hurdles disappear; great ideas abound; efficiencies arise; and perhaps most importantly? Time flies! But how can you get there on a regular basis? Whether you're an analyst, a writer, a coder, or an IT director, there are best practices for getting in a productive flow. Check out this episode of Future Proof to hear Host Eric Kavanagh offer insights for optimizing productivity and achieving Zen. He'll be joined by DataStax guru Patrick McFadin who will share valuable perspectives for getting your organization to hit on all cylinders. Whether for business executives, developers or team leads, these insights will help you innovate i...    See details...
'Future Proof' with DataStax and The Bloor Group The future is distributed - and scalable. The ubiquity of data is much more than a clever idea these days; it's how global business gets done. And the demand for real-time access to troves of information assets has never been greater. The use cases span the spectrum of business models: eCommerce, digital media, telco, retail, security. But how does it all work? Check out this episode of Future Proof to learn all about the foundation of our evolving Information Economy. Host Eric Kavanagh will speak to industry visionary Patrick McFadin of DataStax, who will explain how distributed data powers everything from 5G to edge computing, from movie streaming to global financial networks. WAT...    See details...
The Briefing Room with Openprise and The Bloor Group Yes, customer experience matters, but so does the bottom line. That's why digital transformation should address both concerns simultaneously. The key is to enable business people to optimize their workflows in ways that make sense for them, while also simplifying the job of IT. These days, optimizations like that can be done quickly, and without the need to write custom code! Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain why traditional approaches to application integration must change. He'll be joined by Allen Pogorzelski of Openprise, who will demonstrate how his company's technology dissolves technical debt while streamlining import...    See details...
"Follow the science!" That's the refrain in the #COVID19 era, but what does it really mean? Science doesn't settle on one answer; rather, it provides a framework for making informed decisions. What's more, it is a process, not an end in itself. And it's often a moving target. As such, it requires a commitment to transparency and critical thinking. In this episode of Future Proof, we will examine the nature - and application - of science, in the global context of the novel coronavirus. Dr. Geoffrey Malafsky, a career scientist who cut his teeth at the United States Naval Research Laboratory more than 30 years ago, will examine the data, the methods, and the predictive models that were used to warrant widespread lockdowns of nations all a...    See details...
The Briefing Room with The Bloor Group and Cambridge Semantics Today's Information Economy requires much more than data warehousing to fuel valuable insights. Data teams are under pressure to provide faster access to integrated data across increasingly distributed landscapes. Analytics leaders must upgrade to a data fabric design that enables dynamic and augmented data integration to support their business strategy. Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain why the complexity of today's world exceeds the limits of traditional data warehousing. He'll be joined by Ben Szekely of Cambridge Semantics, who will demonstrate how the combination of graph and semantic technologies at scale cr...    See details...
Webinar with The Bloor Group and Equalum We live in an event-driven world. Amazon one clicks, machinery gear turns, social media interactions, and myriad other digital events stream off all types of devices, creating business opportunities that demand fast attention. Streaming-first data architectures enable organizations to capture short-lived business value from these events by processing and analyzing event data as it is created and before it is stored. Organizations build streaming-first architectures to enable real-time decision making, reduce cost, increase scale and accelerate applications. But challenges abound. Data teams must carefully scope their use cases, select the right technologies, and streamline processes while stil...    See details...
Limitless computing has arrived. Fueled by the scalability of cloud -- and notably, Google's open-source Kubernetes -- computational power can now scale seamlessly to tackle just about any business challenge imaginable. The timing is serendipitous, as organizations worldwide find themselves navigating increasingly turbulent market conditions. The big question now? How to handle the data! Organizations building next-gen apps with Kubernetes have learned to exploit the true power of limitless computing. Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain why today's world demands a decidedly cloud-native approach to data. He'll be joined by Patrick McFadin of Datastax, who will detail how the Cassan...    See details...

The Evolution of Data Science

On: March 25, 2020
The Age of Data Science is here. But who are the major players? And what does an organization need to effectively leverage this powerful discipline? Register for this special Bloor Group Research Webinar to gain a better understanding of where we are today, and what savvy companies need to do in order to compete. Bloor Group CEO Eric Kavanagh and Chief Analyst Dr. Robin Bloor will share their perspective on how this fast-evolving space is unfolding, and what to expect in the near future. Attendees will learn: * the component parts of a data science platform * how to identify the critical components for your solution * which apps and technologies offer the greatest promise * what the future will likely hold for data science teams W...    See details...
The Briefing Room with Eric Kavanagh and Alluxio Analysts want answers, not constraints. But despite the promise of cloud-based analytics, the reality on the ground is that most data remains on-prem. Moving it all to the cloud has been a non-starter for many reasons: cost, latency, technical difficulty. But what if you could use a virtual marshaling area for data that would connect on-prem environments to any major cloud platform, enabling high-powered computation without the need to move data en masse? Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain how a new approach to data orchestration offers tremendous promise for connecting traditional data centers with the high power of cloud comput...    See details...
The Briefing Room with The Bloor Group and Ataccama If cars can drive themselves, why can't data management? That question gets more plausible by the day, as a confluence of innovations enables a revolutionary way to marshal and manage information assets. Artificial Intelligence and Machine Learning can now facilitate the classification and processing of metadata, which can lead to remarkable gains in efficiency, quality and speed. Register for this episode of The Briefing Room to hear Bloor Group CEO explain why self-driving data management is more than a dream today. He'll be joined by Michal Klaus, CEO of Ataccama, who will demonstrate how the company's data platform is on track to enable the long-sought vision of self-driving data...    See details...
The Briefing Room with The Bloor Group and Squark Most predictive use cases don't require a data science team. Whether for marketing, research, or business operations, automated machine learning algorithms can tackle many of the most common scenarios effectively. Generally speaking, organizations that focus on a high volume of achievable wins tend to increase project throughput, performance, and overall satisfaction. Register for this episode of The Briefing Room to hear Bloor Group CEO explain why Auto-ML poses far more opportunities than threats, and should therefore be embraced with earnest. He'll be joined by Judah Phillips of Squark, who will demonstrate how his company's Auto-ML platform addresses up to 80% of the use cases for ...    See details...
Webinar with The Bloor Group and Informatica Data and application integration are essential for business automation and digital transformation. But today’s complex IT landscapes inhibit integration with data and applications are spread across on-premises and multiple cloud platforms. Many organizations have one foot on the ground and the other in the cloud with traditional applications on-premises and new modern applications spanning multiple clouds. A Hybrid Integration Platform addresses the data management challenges associated with business processes and enterprise analytics that must bridge between on-premises and multi-cloud application and data silos. Join us to learn: -The nature and the causes of modern integration di...    See details...
Hot Tech with The Bloor Group and Microsoft You can't argue with success! These days, that requires good analytics. But what, exactly, does success look like? Register for this year-ending Webinar to find out! Several industry luminaries will share stories of effective projects, including: a major healthcare organization identifying fraud via analytics and blockchain; a major US bank preventing theft with a similar solution; a game-changing real estate giant using real-time data pipelines; and other such stories. Guests will include: Krish Krishnan, #theArchetype Evren Sel Cakir, The Bloor Group Scott Adams, Microsoft Workplace Analytics WATCH...    See details...
The Briefing Room with The Bloor Group and OpenLogic The proof is always in the pudding, and that's especially true for getting business value from machine learning and artificial intelligence. The good news? There are many proven avenues that organizations can take for solving big problems with ML and AI. The better news? A whole host of powerful algorithms are freely available, thanks to the paradigm of open-source software. Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain why the use of ML and AI will quickly pervade the business world. He'll be joined by open-source evangelist Justin Reock of Perforce, who will provide several concrete examples of AI and ML in practice. He'll discuss how...    See details...
The Briefing Room with The Bloor Group and Ascend The biggest problems in data management start way upstream. Yet most solutions tend to focus on downstream fixes, otherwise known as bandaids. That world is finally changing, as the combination of artificial intelligence and data pipelines opens remarkable new opportunities for data orchestration. The end result is a dynamic, automated paradigm for data movement, one that optimizes speed of delivery and overall accuracy. What does that mean for your business? Register for this episode of The Briefing Room to find out! Bloor Group CEO Eric Kavanagh will explain why a new era of data management is just now beginning. He'll be joined by Sean Knapp of Ascend, who will explain how declarati...    See details...
Webinar with The Bloor Group, Microsoft and Treehive Consulting Culture eats strategy for breakfast. That’s because good cultures foster innovation from the outset. Employees shine because they love what they do. They feel supported by management, and have the tools and resources they need to get their job done well. In today’s complex and often far-flung organizations, behavioral data plays an ever greater role in shaping not only what a company does, but how it operates and grows over time. Register for this Webinar to hear Donald Farmer of Treehive Consulting who will extol the virtues of greater visibility into the operations of organizations. He’ll explain how insights from behavioral data can help companies not just impro...    See details...
Research Webinar with The Bloor Group and Anaconda As enterprises across all industries embrace the potential of data science and machine learning, they will inevitably face the challenges of operationalizing these processes in their technical environments. They will need to be strategic in choosing investments that align with their objectives. The question of building a bespoke solution versus purchasing a vendor’s platform that accommodates the needs of many is a decision that will be debated in earnest. If you’ve decided your business is ready for a Data Science and Machine Learning platform, join us for this interactive webinar. We’ll examine: -How to determine the baseline requirements for a Data Science platform -What to...    See details...

Adrift at Sea? Not with DataOps!

On: December 03, 2019
The Briefing Room with The Bloor Group and StreamSets In an ocean of data, navigating your enterprise to success can pose serious challenges. As data sources proliferate and competition heats up around the globe, savvy organizations are turning to DataOps to get a handle on their information assets. By leveraging a control plane for data, these companies are able to harness information at-scale, providing significant strategic advantage. Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain why a formal DataOps program is fast becoming a must-have for any data-driven company. He'll be joined by StreamSets VP of Product, Kirit Basu, who will share his company's vision for enabling the next genera...    See details...
Webinar with The Bloor Group and Microsoft When you know better, you do better. That age-old mantra comes squarely into view today as organizations can now tap into tremendous new sources of information, never before readily available for analysis. Paramount among these? Workplace analytics! Combined with remarkable collaborative capabilities, this new form of behavioral analytics promises to revolutionize the visibility, granularity and scale of insights available to the modern business. Register for the first part of this new Webinar series to hear Bloor Group CEO Eric Kavanagh explain why the nexus of workplace analytics and collaboration creates a truly game-changing opportunity for decisionmakers. He'll be joined by Danielle Gros...    See details...
The Briefing Room with The Bloor Group and Pepperdata Everyone loves options! And these days, savvy analysts can benefit from a whole new world of computational power. While the rumors of on-prem's demise have been exaggerated, there are now multiple cloud platforms where analytics can be run. But what of the cost? the TCO? A survey of 350 decision-makers recently noted that Big Data in the Cloud turned out to be downright expensive. Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh and Senior Analyst Evren Sel Cakir explain why a new day is dawning for the power of analysis. They'll be joined by Kirk Lewis of Pepperdata, who will demonstrate innovative software for understanding and effectively mana...    See details...
Briefing Room with Eric Kavanagh and Sauce Labs Whether you’re in retail, technology, finance, or anything in between, chances are yours is a digital business, the success of which depends on continuously delivering fast, visually appealing and functionally flawless web and mobile applications to your customers. Aiming to accelerate release cycles, improve the quality of their applications, and drive a better overall experience for their users, organizations large and small are investing heavily in DevOps. And yet, many of those same organizations are still struggling to achieve quality at speed. This missing ingredient for many? Open source. In this in-depth webcast, Joanna Schloss and Thomas Boyles of Sauce Labs will join us...    See details...
Many great ideas arrive before their time. But wait long enough, and the tumblers will align. That's the case with data virtualization, the practice of provisioning data in unconventional ways. Now nearing its 20th year, this innovative practice is roaring back thanks to a clever assembly of open-source technologies and proprietary techniques. The result? Seamless access to data across silos without ETL. Register for this episode of The Briefing Room to hear Bloor Group Senior Analyst Evren Sel Cakir explain how open-source software has fueled this next generation of data virtualization. He'll be joined by Ian Tinney of Gemini Data, who will explain how his technology was designed to provision both structured and unstructured data virtua...    See details...
Hosted by Eric Kavanagh (The Bloor Group). Sponsored by Syncsort. Today’s data-hungry analytics applications falter when they can’t get the right data at the right speed. Data pipelines are a critical element of success with analytics, yet building and operating data pipelines can be difficult. Today’s data management systems are complex, with data deployed across multiple cloud platforms and in hybrid architectures that combine multi-cloud with on-premises databases. Data pipeline difficulty is further challenged by a shortage of data engineers and increasing needs for real time data. Analytics success and sustainability depends to a large degree on our ability to build data pipelines that are agile, automated, and accurate. ...    See details...
Hosted by Eric Kavanagh (The Bloor Group). Presentation by Wayne Eckerson (The Eckerson Group). Sponsored by Equalum. One of the biggest challenges facing organizations looking to modernize their data infrastructures and pipelines is how to ingest data from dozens, if not hundreds, of new and legacy systems and applications. Most want to adopt a streaming-first architecture, but many legacy systems and target applications still work in batch mode. Also, with large volumes of fast-moving data, it’s mandatory to update targets with changes, not refresh the entire database. But not all ingestion methods support change data capture. Finally, reconciling source data and preparing it for consumption requires a significant amount of transfo...    See details...
Hosted by Eric Kavanagh (The Bloor Group). Presentation by Dave Wells (The Eckerson Group). Sponsored by Infoworks. Today’s analytics use cases are highly data dependent. Analytic models, and especially AI/ML models—are data hungry. They need a reliable supply of trustworthy data to be useful and sustainable. Today’s data management systems are complex and challenging with data deployed across multiple cloud platforms in combination with on-premises databases. Multiple platforms and data silos are barriers to fast and reliable data supply for analytics. The dilemma for modern analytics is this paradox: We need more data and more kinds of data for advanced analytics. But more data and more kinds of data create barriers to operat...    See details...
Software may be eating the world, but only if it has access to the right data! Today's innovators appreciate the critical importance of fueling their applications with the right information at the right time. Environments are no longer on-prem, they are a combination of on-prem and cloud based with major shifts not only to cloud-based databases but a myriad of SaaS applications which store important enterprise data. Connecting to so many systems in so many places calls for a whole new approach to managing data access. Register for this episode of The Briefing Room to hear veteran Analyst William McKnight explain why data access must go beyond the traditional point-to-point architectures of yesteryear. He'll be joined by Nadia Dobriansk...    See details...
The long-fought battle of business and IT is finally giving way to a new era of cooperation, largely thanks to the maturation of self-service analytics. By providing analysts with the tools they need to prepare data efficiently, technical teams can focus on other challenges. The biggest winners are domain experts, who now spend the majority of their time tackling the issues that yield results for the business. Register for this episode of The Briefing Room to hear industry analysts Eric Kavanagh and Donald Farmer explain why the self-service vision is finally coming to fruition. They will be joined by Matt Derda of Trifacta, who will explain how data preparation techniques are solving the dual objectives of educating analysts about thei...    See details...
DataOps promises to accelerate the process of creating and modifying data pipelines while simultaneously improving quality. DataOps will turn what has historically been a hand-crafted discipline into a lights-out, automated data environment that speeds delivery, improves customer satisfaction, and generates business value. But DataOps is a big tent that borrows principles from DevOps, Lean, Agile, and Total Quality Management methodologies. And while DataOps is focused on repeatable operational processes, there is the corresponding automation technology that is helping accelerate many of these processes. The challenge is absorbing these new processes and new technology while the underlying execution ( Hadoop, Spark, Databricks etc.) and...    See details...
How do Fortune 100 companies optimize their big data applications? They gather metrics from more than 300 data sources every five seconds, then use machine learning to scan incredibly complex systems, across on-prem and cloud environments. The insights gleaned allow them to identify mission-critical issues in near-real-time, and then resolve them, sometimes automatically, to keep the big data trains running on time. Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain why success with big data requires deep visibility into the wide array of scale-out technologies. He'll be joined by Kirk Lewis of Pepperdata, who will discuss how his company's platform collects tremendous amounts of data to acceler...    See details...
The rise of big data, data lakes and the cloud, coupled with increasingly stringent enterprise requirements, are reinventing the role of data warehousing in modern analytics ecosystems. The emerging generation of data warehouses is more flexible, agile and cloud-based than their predecessors, with a strong need for automation and real-time data integration. Join this live webinar to learn: -Typical requirements for data integration -Common use cases and architectural patterns -Guidelines and best practices to address data requirements -Guidelines and best practices to apply architectural patterns REGISTER...    See details...
Over the past few years, the revolution of technology for storing, processing and analyzing data has been staggering. Businesses now have the ability to work with data at a scale and speed that many of us would have never thought possible. So why are so many organizations still struggling to drive meaningful ROI from their analytics and AI investments? The answer starts with the quality of your data. Poor management of the flow of data – raw, diverse, and frequently unstructured – can quickly turn analytics and AI initiatives into failures. As the saying goes: garbage in, garbage out. Without good data preparation technologies and practices optimized for data quality, AI and analytics investments fail to meet the necessary prerequis...    See details...
DataOps is an emerging set of practices, processes, and technologies for building and automating data pipelines to meet business needs quickly. As these pipelines become more complex and development teams grow in size, organizations need better collaboration and development processes to govern the flow of data and code from one step of the data lifecycle to the next – from data ingestion and transformation to analysis and reporting. DataOps is not something that can be implemented all at once or in a short period of time. DataOps is a journey that requires a cultural shift. DataOps teams continuously search for new ways to cut waste, streamline steps, automate processes, increase output, and get it right the first time. The goal is to...    See details...
In the past, an entire organization could be supported with a single data pipeline: the data warehouse. Today, organizations are building multiple pipelines to support dozens of use cases, from reporting and self-service analytics to data science, machine learning, and real-time, customer-facing applications. Managing multiple data pipelines is a complex process that is further complicated with more data sources and targets than ever before. Adding to the management challenge, the range of data technologies available to collect, transform, manage, and deliver data has exploded and continues to evolve. This webcast examines the characteristics of modern data pipelines and provides a framework for building and managing them. It explores th...    See details...
Remember the early days of cellular telephones, when a call routinely started with a few minutes of “Can you hear me now?” Each of those minutes cost the caller without contributing to the desired communication. Today we have a similar situation with analytics when meetings routinely begin with “Where did you get this data?” The time taken when several people—generally high-level and high-salary people—spend several minutes questioning data trustworthiness has a very real cost and contributes little to knowledge, understanding, insight, or decision making. Trusted data is a critical element of analytic culture and data-driven business. Companies today consider data a key asset that influences every aspect of business from st...    See details...
In the realm of complex analysis, rarely does one source of data provide everything the analyst needs. Data Warehouses were designed to pull data from multiple sources, to enable that kind of cross-system discovery. But that traditional model typically required stripping the data of significant context, essentially watering down the end result, and at times obfuscating the most meaningful facets. Thanks to several advances in real-time data exploration, companies can now access raw data where it lives, and begin the analysis process often within seconds of connecting to a source. And new innovations allow for multi-source analytics, where disparate systems can be accessed simultaneously, allowing real-time discovery across multiple sourc...    See details...
Synthesis Webcast with Eric Kavanagh and Eckerson Group Artificial intelligence (AI) is making inroads into every imaginable product and service, including data analytics which spawned it. Vendors are now racing to implement AI capabilities, including natural language queries, automated insights, natural language generation, intelligent data preparation, and auto-visualizations. The question now is how AI will reshape business intelligence (BI). Will AI eliminate the need for traditional reports and dashboards or will it enhance those delivery methods, making them more, rather than less, valuable? Will AI generate right answers in response to spoken or written queries and automatically unearth related drivers and dimensions? Or will i...    See details...
Modernizing data management is on everyone’s mind today. Making the shift from data management practices of the BI era to modern data management is essential but it is also challenging. Whether you’re updating the back end by migrating your data warehouses to the cloud or advancing the front end with a shift from legacy BI tools to self-service analysis and visualization, it is critical to know the data that you have and to understand data lineage. Data inventory, data glossary, and data lineage are all metadata dependent. But legacy BI metadata is typically proprietary, non-integrated, and collected inconsistently by a variety of disparate tools. The metadata muddle is a serious inhibitor to modernization efforts. Metadata consolidatio...    See details...
Organizations today are building strategic applications using a wealth of internal and external data. For example, they are building Customer 360 applications that combine customer data from multiple business channels, including stores, online, social media, and third party demographic data. They are deploying e-commerce applications that offer personalized shopping experiences and dynamic recommendations using a deep history of customer transactions, interactions, and observations. They are performing proactive maintenance by predicting failures in manufacturing equipment. And the list goes on. Unfortunately, data-driven applications fail for many reasons and identifying the cause and finding a fix is challenging and time-consuming. Thi...    See details...
Seeing is believing, and that's especially true in today's world of far-flung enterprise data. Organizations today need to innovate, adapt and scale quickly, which often leads them to modernizing their data infrastructure to include cloud migration and leverage progressive cloud-based tools. But with critical information assets being spread across an ever-expanding array of on-premise and cloud environments, how can you effectively manage this dynamic new reality? Check out this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain the significance of data catalogs for the future sanity of information professionals everywhere. He'll be joined by Peter Princen of Collibra who will discuss the rise of 'data citizens' ...    See details...
The race is on! Companies the world over are fast realizing the remarkable power of predictive analytics. But getting effective models designed and deployed typically takes a lot of time, effort and cost. That's now changing, largely due to the combination of automation and machine learning. How can your company get the upper hand? Check out this episode of The Briefing Room to hear veteran Analyst Dr. Peter Went explain why we're entering a whole new phase of enterprise intelligence. He'll be joined by Greg Michaelson of DataRobot, who will demonstrate how the design and deployment of predictive models can be automated these days, enabling companies to significantly expand the business benefit of their data. He’ll showcase an array of...    See details...

Bloor group research

Multimedia Research Program by The Bloor Group What's bigger than big data? Artificial intelligence! That's because AI will soon transform practically every business process in the world, in part due to the abundance of big data, and specifically ...
Data may be the new oil, but every sword cuts both ways. Just as with any valuable asset, there are liabilities associated with data. The key to success in today's world is to ensure that you have sound policies in place for managing data, especi...
Database is the new black. Ever the backbone of information management architectures, database technology continually evolves to meet growing and changing business needs. New types of data and applications make the database more important then ever, ...
A sea change is underway. The old constraints are fading, while a bold new vision unfolds. The Data Lake represents more than another type of information reservoir. It embodies a fundamental change in the data management industry itself. Tools, techn...
This primary research project, conducted by David Loshin and Abie Reifer of DecisionWorx in conjunction with The Bloor Group, will examine the real-world use of technologies and solutions that comprise the Hadoop/Big Data Management enterprise enviro...

Infographics