Inside Analysis

'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 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...

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...

The power of analytics cannot be denied, but the immediacy of effective action tells the tale of success. Solutions that enable data-driven decisions will tend to produce positive results on track with how quickly and efficiently professionals can change a business process upon finding relevant insights. The longer that latency, the lower the value. That's why operational intelligence can provide such bang for the buck: the benefits can accrue right away. Register for this special episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain why analytics is no longer just for the elite. He'll demonstrate why "BI for the Masses" has finally arrived, and what that means for your organization. He'll be joined by Shane Swiderek...    See details...

Every so often, a sea change occurs in the world of technology. The dynamics fundamentally change, and innovators carve out new ways of doing business. The Cloud certainly represents such a transformative power, but so does the rise of containers. In a few short years, containers have evolved into a formidable toolset for enterprise IT, especially in the domain of hybrid cloud. Register for this episode of How Data Works to hear Bloor Group Data Scientist, Dr. Geoffrey Malafsky, explain how containers will fuel the great migration from on-prem to hybrid and multi-cloud scenarios. He'll be joined by Shane Kumpf and Billie Rinaldi of Hortonworks, who will demonstrate how containers can play an integral role in the next generation of busine...    See details...

If it's worth doing, it's worth doing right! That maxim applies to all manner of business solutions, but it's especially applicable for data governance. Traditionally, governing data was mostly done at the source (database) or application layer (edge), but both options were inefficient for different reasons. The hard truth is that actual data governance requires a comprehensive solution that reaches across, and through all significant information systems. Register for this episode of The Briefing Room to hear Bloor Group GRC Advisor, Dr. Peter Went, explain why "edge-to-edge" data governance is a recipe for success. He'll be briefed by Danny Sandwell of erwin, who will explain how his company's recent acquisitions have enabled enterprise...    See details...

Everyone wants more data these days, and who can blame them? The insight economy is now in full swing. But despite widespread innovation in analytics and big data processing, the nuts and bolts of accessing data haven't changed in 20 years... until now. Register for this special episode of The Briefing Room to learn about a new way of connecting information systems and sources faster, more reliably, with less burden on your internal teams. Veteran Analyst Mike Ferguson will explain why a new approach to data connectivity is required for success in the Information Economy. He'll be joined by Magnitude Software General Manager Tony Fisher, alongside Senior Product Manager, Craig Chaplin, who will showcase Magnitude Gateway, a new platform ...    See details...

The tipping point already passed, and the major analyst firms agree: The future is hybrid cloud, and it's already here. The question now is how to manage this multifaceted world of enterprise computing. Central to the strategy of most forward-looking companies is a data fabric which provides the backbone for a new generation of business applications that are fast, scalable, and secure. What does all that look like? Register for this episode of 'How Data Works' to hear veteran Data Scientist Dr. Geoffrey Malafsky explain why a data fabric is central to this next era of computing. He'll be joined by Scott Clinton of Hortonworks who will share his company's vision, which will support all kinds of applications, including classic stateful, an...    See details...

Many companies today want to embed reports and analytics into applications. Embedded BI delivers critical data to business users in the context of their core applications. It also improves the value of customer-facing applications, addressing one of the key points in the market today: customer experience. Register for this special Eckerson Group Webinar to learn about the growing trend of embedding analytics into operational systems. Analyst Wayne Eckerson will offer insights from his firm's years of research into this space. He'll be joined by Gene Arnold of TIBCO Jaspersoft, who will demonstrate how his company enables agility by embedding valuable analytics into operational systems. REGISTER...    See details...

Most BI products now incorporate machine learning to automate manual tasks, such as blending data, crafting queries, generating dashboards, performing root cause analysis, conducting simulations, and finding related reports. Most also run imported predictive models and perform regressions out of the box. The question is, does all this artificial intelligence make BI users more or less productive? Will it increase or decrease their analytical IQ as they become dependent on the machine for answers? Will users trust machine output to their own analysis or that of a trusted colleague? This webcast will explore these and other issues emanating from the new era of Smart Analytics. What You Will Learn: -Will AI enhance BI or create new p...    See details...

Thanks to artificial intelligence (AI), prediction and prescription are fast eclipsing description (i.e. business intelligence) as the most sought-after data deliverable. The question now is whether AI will replace BI or complement it. Is there a separate and distinct role for BI apart from AI? Or will the two disciplines merge into an AI-infused analytic application? This webcast will track the emergence of AI and debate its role within the spectrum of analytic capabilities. It will discuss how BI and analytics vendors are ushering in the AI era by incorporating rules and machine learning into BI tools. The goal of AI-infused BI is to automate routine tasks, make self-service easier, and improve data literacy. However, once AI starts co...    See details...

Jim Barksdale, former CEO at Netscape, once said “If we have data let’s look at data. If all we have is opinions, let’s go with mine.” The message is clear, but having data is only the beginning, Your analysts need to find the right data, understand the data, and deliver timely insights at reasonable cost. That’s where data catalogs make a real difference. The value and benefits of a data catalog are often described as the ability for analysts to find the data that they need quickly and efficiently. Data cataloging accelerates analysis by minimizing the time and effort that analysts spend finding and preparing data. Anecdotally it is said that 80% of self-service analysis without a data catalog is spent getting the data ready ...    See details...

Metadata remains the cornerstone of information management. It's not just the glue that holds systems together; it enables practically every transaction in today's data-driven enterprise. From reporting and analysis to governance and security, metadata holds the key to accuracy and context. But manual management of this critical resource can cause serious issues. That's why automated metadata management is now taking center stage. Register for this episode of The Briefing Room to hear veteran Data Scientist, Dr. Geoffrey Malafsky explain why metadata is more critical than ever in the age of big data. He'll be joined by Amnon Drori of Octopai, who will demonstrate how his company's software is revolutionizing the once-unwieldy process of ...    See details...

Recent developments in data management, big data, data lakes, NoSQL, Hadoop and the cloud, enable businesses to gain more insights faster. This new age of data warehousing has a high emphasis on self-service and global access to data, raising new challenges. How can we optimize workloads originated from self-service applications? How can we maintain data warehouse health as it is leveraged by more diverse analytics? How can we ensure scalability without having to increase IT resources? To enable self service and modernize with confidence, modern tools will be needed to increase visibility into workloads, automate health checks and workload tuning, and introduce self-service troubleshooting to the user community. You will learn: -The b...    See details...