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How streaming analytics offers business value

Many analytics and BI tools limit your ability to get insight in time to make a critical business decision. Once you detect a pattern, you have to work with a data scientist to choose data sets for more analysis, clean the data of noise, and code a query, all while the data becomes less and less relevant with passing time.

This resource explains streaming analytics and describes how it can enable real-time decision-making based on current evidence. Learn how you can resolve business problems more quickly and make data-driven decisions. 

These are also closely related to: "Introducing IBM's Balanced Warehouse"

  • How Crocs boosted their speed to insight

    In order to gain control of growing datasets across disparate systems, Crocs began making investments in cloud-based infrastructure and technology. However, to maximize their data assets, they still needed to put a higher priority on governing the data they rely on for insights and decision-making.

    Tap into this case study to learn why Crocs chose Alation as its data catalog to address its data governance needs and enable benefits such as:

    • Align data definitions
    • Speed change management
    • Support cloud migration
    • And more

  • AllCloud’s Matillion One-Click Solution

    If your organization has had a data analytics initiative on the board for a long time and it hasn’t moved, you should ask yourself why. Most times, the answer is that it takes too long to implement.

    In this white paper, you will learn about a clous solution that can help you get that first pipeline stood up quickly so you can load data from more sources at scale, manage changes, and monitor the whole thing.

    Read on to learn more about this platform and see how you can save countless hours and frustrating roadblocks with a one-click data analytics solution.

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    Fully remote and hybrid work are at an all-time high, with Gartner predicting that 31% of global workers and a staggering 53% of U.S. workers will be remote for 2022. As a result, a newer trend is on the rise: mobile business intelligence. As working from anywhere becomes the norm and expectations for responsiveness continue to rise, what should business leaders know about equipping their employees with mobile work capabilities? Tune into March’s episode of The BI Report to learn from leading experts when it comes to evaluating and implementing a mobile business intelligence strategy for your organization. This panel-style webinar will present key insights to help viewers walk away with a firm understanding of the opportunities mobile BI presents in a new era of work. Areas for discussion include the following: - When the mobile BI trend began, and why it’s gaining importance in 2022 - The advantages of mobile BI, including enhancing collaboration, efficiency, competitive advantage, and more - The common hurdles to adoption of mobile BI - Where to start and what devices to consider including in your strategy - And more! This episode is part of The Business Intelligence Report original series with Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics. We welcome viewer participation and questions during this interactive panel session. Speakers: Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics Ariful Mondal, Consulting Practice Partner at Wipro Rajdeep Biswas, Head of Data Engineering & Analytics, Vice President at GEP

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    Agility has become a buzzword over the past two years — and even more so when it comes to business intelligence. According to research, 93% of the organizations that had fully implemented an agile BI strategy before the pandemic outperformed those that hadn’t. As the market adjusts to a new normal of constant change, how can adopting agile BI practices help your organization ride the waves of dynamic demand? Tune into May’s episode of the Business Intelligence Report to learn from leaders in the field when it comes to implementing an agile BI strategy. Viewers will walk away with understandings of how agile analytics foster quicker ROI and increase capacity to adapt to changing business needs. Topics for discussion include the following: • What defines agile BI today •The most common hurdles to agile BI adoption • The advantages of agile BI, from decreasing time to market and increasing ROI to increasing user adoption •How your business can get started •And more! Speakers: Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics Stephanie Sibert, Director, Business Intelligence & Analytics at Ironclad Kate Schiffelbein, Director of Business Intelligence at Kentik Abeer Shrivastava, Director - Business Intelligence & Advanced Analytics at SubroSmart

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  • What Agile BI Can Do for Your Business

    Agility has become a buzzword over the past two years — and even more so when it comes to business intelligence. According to research, 93% of the organizations that had fully implemented an agile BI strategy before the pandemic outperformed those that hadn’t. As the market adjusts to a new normal of constant change, how can adopting agile BI practices help your organization ride the waves of dynamic demand? Tune into May’s episode of the Business Intelligence Report to learn from leaders in the field when it comes to implementing an agile BI strategy. Viewers will walk away with understandings of how agile analytics foster quicker ROI and increase capacity to adapt to changing business needs. Topics for discussion include the following: • What defines agile BI today •The most common hurdles to agile BI adoption • The advantages of agile BI, from decreasing time to market and increasing ROI to increasing user adoption •How your business can get started •And more! Speakers: Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics Stephanie Sibert, Director, Business Intelligence & Analytics at Ironclad Kate Schiffelbein, Director of Business Intelligence at Kentik Abeer Shrivastava, Director - Business Intelligence & Advanced Analytics at SubroSmart

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  • What Agile BI Can Do for Your Business

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  • What Agile BI Can Do for Your Business

    Agility has become a buzzword over the past two years — and even more so when it comes to business intelligence. According to research, 93% of the organizations that had fully implemented an agile BI strategy before the pandemic outperformed those that hadn’t. As the market adjusts to a new normal of constant change, how can adopting agile BI practices help your organization ride the waves of dynamic demand? Tune into May’s episode of the Business Intelligence Report to learn from leaders in the field when it comes to implementing an agile BI strategy. Viewers will walk away with understandings of how agile analytics foster quicker ROI and increase capacity to adapt to changing business needs. Topics for discussion include the following: • What defines agile BI today •The most common hurdles to agile BI adoption • The advantages of agile BI, from decreasing time to market and increasing ROI to increasing user adoption •How your business can get started •And more! Speakers: Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics Stephanie Sibert, Director, Business Intelligence & Analytics at Ironclad Kate Schiffelbein, Director of Business Intelligence at Kentik Abeer Shrivastava, Director - Business Intelligence & Advanced Analytics at SubroSmart

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  • Unified Analytics Data Lake Platform with Vertica and Cloudian HyperStore

    Data warehouse and data lake environments are growing rapidly, with analytic use cases such as AI/ML fueling the growth of petabyte-scale data sets. The cloud model has modernized the data warehouse platform by running on S3 data lakes and taking advantage of the flexibility, cost-efficiency, and scale inherent with cloud storage. Vertica has partnered with Cloudian and brings the same modern data warehousing architecture on-premises for scaling and managing all data warehousing workloads in an economical manner. Join experts from Vertica and Cloudian to learn about modernizing your data warehousing architecture. This webinar will cover: - New architectures for data warehousing - Why on-prem S3 data lake is the chosen solution for data warehousing workloads - Use cases from analytics to backup Speakers: Steve Sarsfield, Director of Product Marketing, Vertica Amit Rawlani, Director of Technology Alliances & Solutions, Cloudian

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  • Creating a powerful new revenue stream with AllCloud

    In this case study, you’ll find out how Proficient Health teamed up with AllCloud to develop a new data analytics solution and revenue source. AllCloud assisted in creating a data lake, Redshift cluster, and secure connections, allowing Proficient Health's clients to analyze more data in their BI tools. Read on now to learn more.

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    BI Spotlight on Marine

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  • Fireside Chat: Infusing AI Into Analytics

    Watch a thrilling fireside chat centered around discussing the insightful research completed by Mike Leone and team at Enterprise Strategy Group, part of Tech Target. This research delves into the state of how AI is being infused into analytics and business intelligence platforms. We discuss: Why AI integration into BI and analytics remains a priority to businesses The challenges of integrating AI into BI and analytics effectively. The realities of how AI is revolutionizing data and analytics to bring pervasive insights to all employees. What steps you should take to properly integrate AI into your BI and analytics.

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  • How automation saved a large healthcare system 5 hours daily

    A large, renowned healthcare system known for inventing new models of patient-centered, cost-effective care was struggling with manual processes and the inability to share workforce data in a timely manner between solutions, preventing a holistic view of data across their organization. Discover how

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  • Moving from BI to Automated Machine Learning

    Machine Learning has become a competitive differentiator in a big data world. Vast amounts of data are already overwhelming existing BI tools and analytics processes. When faced with hundreds of variables, a human’s ability to efficiently identify new insights or detect changing patterns manually has also been exceeded. To address these challenges, BI and analytics professionals are adopting user-friendly, automated machine learning solutions. In this on-demand webinar, recognized analytics industry expert Jen Underwood discusses how BI and analytics professionals can get started with automated machine learning.

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  • Personalized BI Insights Using Artificial Intelligence

    Business intelligence teams are tasked with supporting their company’s decision makers, through accurate and relevant analysis. The challenge is that these decision makers often work in different parts of the business and require personalized insights, based on specific parameters. BI teams need to be able to produce analysis that is tailored to various use cases, individuals and business needs, all from the same large data set. While this is possible with older business intelligence tools, it can be time-consuming and complex to identify the most valuable insights for so many different situations. This is where BI teams need to be taking advantage of artificial intelligence. Through strategic use of AI, teams can deliver insights and recommendations that are based on specific users' roles, preferences, and past behaviors. The right AI tools will support BI professionals in various analysis needs, automating the collection of hyper-specific data so that each decision maker is equipped with the most helpful insights. Join host Gowri Selka and her panel of independent experts in this episode of The BI Report, where they will discuss how to use AI to generate personalized BI results. The conversation will include: — Recommendation engines for business decisions — The creation of customized reports — And role-based access to insights for decision-makers

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  • Got data. Now what? Sharing insights with PowerBI

    Decision making, collaboration & ideation are only possible when data and insights can be shared and visualized. Power BI enables business users to quickly bridge the gap between data and decision making. Learn how Dell Technologies Services has helped customers implement Power BI to model and visualize their data to derive new insights from their data.

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  • Business Analytics: how AI is augmenting analysis, and bolstering data literacy shortfalls

    Artificial Intelligence and human analysis have been coming together in recent years. Whether using packaged BI and data preparation tools, or languages like Python and R, business analysts and data scientists and engineers alike have been exploring the use of machine learning algorithms to augment their data analyses. Read more in this e-guide.

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  • Generative BI from Amazon QuickSight

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  • Future-Proofing Your Analytics Investment through AI and Cloud

    In this latest Data Science Central webinar, taking advantage of the newest innovations across the business intelligence and analytics landscape is critical to stay ahead of the competition and drive real value from your data. AI, machine learning, and cloud are all raising the bar, and you can position yourself to take advantage of these new capabilities now and in the future. Join Wayne Eckerson from the Eckerson Group along with Chris Mabardy and Denise LaForgia from Qlik as they explore how the BI market is evolving, and the key technologies that will unlock the value of your data for everyone. Topics discussed will include: - The importance of augmented analytics that leverage AI and natural language processing - How automated machine learning can bring the power of data science to analytics teams - Why the rise of cloud analytics is critical to harnessing BI innovation Register today to get our insights on the evolving BI market and future proofing your BI investment. Speakers: Wayne Eckerson, President, Eckerson Group Chris Mabardy, Senior Director Product Marketing, Qlik Denise LaForgia, Director of Product Marketing, Qlik

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  • Future-Proofing Your Analytics Investment through AI and Cloud

    In this latest Data Science Central webinar, taking advantage of the newest innovations across the business intelligence and analytics landscape is critical to stay ahead of the competition and drive real value from your data. AI, machine learning, and cloud are all raising the bar, and you can position yourself to take advantage of these new capabilities now and in the future. Join Wayne Eckerson from the Eckerson Group along with Chris Mabardy and Denise LaForgia from Qlik as they explore how the BI market is evolving, and the key technologies that will unlock the value of your data for everyone. Topics discussed will include: - The importance of augmented analytics that leverage AI and natural language processing - How automated machine learning can bring the power of data science to analytics teams - Why the rise of cloud analytics is critical to harnessing BI innovation Register today to get our insights on the evolving BI market and future proofing your BI investment. Speakers: Wayne Eckerson, President, Eckerson Group Chris Mabardy, Senior Director Product Marketing, Qlik Denise LaForgia, Director of Product Marketing, Qlik

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  • Powering data-driven decisions quickly with a tailored solution

    A prestigious Midwest healthcare system was struggling with cumbersome and time-consuming processes to pull workforce data and combining them. The process took at least 48 hours, had the potential for errors, and proved impossible to fulfill urgent requests from leadership. Discover how much they saved in labor time per week in this case study.

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  • Basically Business Interruption

    Sue Taylor will begin with the basics of what is covered under a BI policy and the key requirements that have to be met. Providing simple but thought provoking comments on BI definitions to help de-mystify potentially confusing areas of cover. Sue will then explore the common extensions that are available to be added to a BI policy. NOTE: This webinar has been made available by the Chartered Institute of Loss Adjusters (CILA) solely for the use and convenience of the viewer. The content, views and representations made in this presentation are the sole product and responsibility of the speakers who have produced it. By making this presentation available the CILA does not offer any endorsement or recommendation of the views and opinions expressed therein. For a full explanation of the terms and conditions upon which the CILA provides this webinar please see our full disclaimer which available on the Institute website.

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  • Data Fabric for Analytics & Cloud : A Telco Realty

    With cloud permeating everywhere, it has become imperative for all Telco companies to adopt and migrate their data to cloud for all analytic workloads. How has this effected BI workloads? Do cloud based BI solutions help Telcos? Does Analytics in cloud deliver simpler path to predictive models? Uniform and standardized workloads? Does it help in reducing implementation time, better data availability? And scalability of models? A user’s perspective in Telco

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  • Launching a cloud-based analytics campaign: The peaks and pitfalls

    In this expert e-guide, learn about some of the major issues facing modern analytics. Read about the initial struggle of launching an operational analytics program, and how integration with cloud solutions can help alleviate these pains. In addition, read about a travel-booking company's success story of BI cloud integration.

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  • Liverpool Insurance Institute - COVID-19 and the impact on BI claims

    This session will cover the complexities that COVID-19 and the subsequent impact of the FCA Test Case on BI claims.

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  • Data Lakehouse in action with Greenplum and Cloudian

    This is the second webinar with Greenplum in our TRENDING TOPIC SERIES: The Emerging World of On-Prem S3 for Data Analytics. We recently introduced VMware Greenplum with Cloudian as a joint solution for modernizing your data warehousing architecture. Now, let’s take a deeper dive! Book a front-row seat with technical experts from VMware and Cloudian on July 21st at 8 AM PDT to learn about: - Data Lakehouse: On-prem S3 data lake for data warehousing workloads - Modern, data-agile use cases: From backup to analytics to AI/ML - Creating a Data Lakehouse-as-a-Service offering through the VMware Cloud Provider Program - And see a live technical demo using S3 data lake with an industry-leading on-prem data warehousing platform

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  • Reducing Decision-Making Time with AI-Powered BI Recommendations

    The most helpful BI recommendations will draw from many connected pieces of data, but analyzing large volumes can take a considerable amount of time. In today’s fast-paced environment, most professionals cannot wait for these insights before they act, rendering them ultimately useless. BI teams need to figure out new systems that will allow them to support their decision makers with accurate, timely analysis that can be put to use immediately. Increasingly, this means leveraging AI-powered solutions. Since AI can filter and process data at far quicker rates than a human, it is possible to gain answers almost instantaneously – once BI teams train the tool on what data to look at and what to look for. This dramatically reduces the time spent on decision-making, so companies can react quickly to market changes and stay ahead of the competition. The challenge is finding the right tool for your business and learning how to use it in a way that promotes efficiency, rather than adding to the complexity. In this episode of The BI Report, host Gowri Selka and her panel of expert guests will break down how to leverage AI tools to meaningfully reduce decision-making time. Key features that will be discussed include: — Personalized recommendations — Prescriptive analytics — Faster decision-making with AI-generated insights

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