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Events

Our team is always exploring new solutions, sharing knowledge and keeping track of the market. The following is a list of our upcoming industry events, training and free webinars. Looking for an analytics industry expert to present at your event? Please contact us.

  • How To Build Intelligent Dashboards Powered by Machine Learning
  • June 5, 2018
  • 10AM PT/1PM ET

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Predictive models have little value unless they’re rapidly operationalized for use within your business. Business analysts can make huge strides by improving data insights and delivering proactive “intelligent” dashboards with machine learning. In this webinar, analytics industry expert Jen Underwood, founder of Impact Analytix, will demonstrate how to visualize machine learning results with dashboard tools like Tableau, Qlik, Microsoft Power BI, and even Excel. With just a few mouse-clicks, you can slice, dice, maximize, and democratize the value of machine learning into actionable, intelligent dashboards.

  • Sisense Eureka!
  • June 12-13, 2018
  • New York City

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Sisense’s invitation-only client conference will bring together hundreds of senior business leaders and analytics professionals from around the globe. Thought-provoking presentations and discussions will entertain, enlighten and challenge your understanding of the evolution and impact of analytics. Learn from industry thought leaders about the future of the analytics market. Gain insights from Sisense on how the company and technology is evolving to meet the changing landscape. Hear from pioneers that changed the future, simply by thinking differently about analytics and data.

  • Ten Steps to a Successful Semantic Layer Adoption
  • June 27, 2018
  • 9AM PT/12PM ET

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Mainstream reporting solutions are not scaling to meet demands of the digital era. The 4 Vs of big data combined with modern BI strategies that enable self-service data access are overwhelming reporting tools and infrastructure. To empower insights-driven, analytical cultures in a new world of big data, organizations are adopting data lake architectures and AtScale semantic layers to enhance capabilities of existing reporting tools. Join Jen Underwood, Founder of Impact Analytix and Wendy Gradek, Director of Product Marketing at AtScale to learn about the key steps and implications that you need to take into consideration when planning a successful migration to BI on Big Data.

  • Exporing the State of Embedded Analytics
  • One Demand

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The state of embedded analytics in 2018 is in flux. Learn from the experiences of 500+ application teams embedding analytics—including which features actually move the needle, how analytics benefits their companies, and what development approach yields the best results.

  • Applying Critical Thinking when Evaluating BI Solutions
  • On Demand

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When evaluating solutions and making important purchase decisions, don’t skip applying critical thinking skills throughout the process. You should think about the perspective of information sources. Learn how accolades and industry awards being shown to you on websites and in marketing pitches are won. What methodology was used? Were the solutions tested? What criteria was examined? In the ever-growing list of “trophies for everyone” industry awards, it is becoming more difficult to decipher real awards from paid advertisements. In this article and in an upcoming webinar, I will provide a few tips to help you enhance your investigative prowess.

  • Advancing Your Analytics Career with Automated Machine Learning
  • On Demand

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The field of analytics is rapidly expanding with the rise of available data and data analytics tools. If you already use tools like Excel, Tableau, Qlik, Power BI, or TIBCO Spotfire and have a deep understanding of your business and its data, then you have the means to make the transformation from descriptive to predictive analytics and become a “citizen data scientist.” Please join us to discuss how!

  • Machine Learning for Mere Mortals
  • On Demand

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InformationWeek/ITX special event - Introduction to Machine Learning for Mere Mortals workshop. Machine learning is one of the hottest topics in tech today. It is a must-have organizational competency in the data-driven era of digital transformation. Despite the unprecedented speed and ease of creating predictive models today, the human mind is still essential for generating good machine learning models. In this fast-paced introductory class, participants will be introduced to fundamental concepts and walk-through the entire machine learning lifecycle with optional hands-on exercises using open source tools. From selecting the right problem to solve to preventing algorithm bias, machine learning is still an art and a science. Participants will learn how machine learning works, how to prevent common mistakes and learn how to build and use machine learning models.

  • BI on the Data Lake Checklist
  • On Demand

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Join Big Data Analytics expert Jen Underwood as she shares some of the best practices data-driven organizations use to select and deploy Big Data Analytics solutions. In this interactive session, you’ll learn how to better understand key analyst reports like the Gartner Magic Quadrant or the Forrester Wave, build a Business Case for BI-on-The-Data-Lake, based on analysts insights and create a checklist to better select the software you truly need to succeed. Finally, Jen will give each registrant access to her latest “BI-on-The-Data-Lake” deployment guide, a must-read resource for you and your team.

  • A New Era of Analytics: Combine the Best of Mind and Machine
  • On Demand

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The future is here. We have entered a new era of analytics. Data volumes and complexity have exceeded the limits of current manual drag-and-drop solutions. Data is moving at the speed of business but speed-to-insight lags behind. It is time to adopt intelligent next generation, machine-powered analytics interacting with human context to retain your competitive edge.

  • How to Avoid Building Bad Models
  • On Demand

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Don’t be naive when it comes to automated machine learning. Despite the unprecedented speed and ease of creating automated predictive models today, the human mind is still essential for generating good models. From selecting the right problem to solve to preventing algorithm bias, machine learning is still an art and a science. To reap the benefits of automated machine learning, Jen Underwood, Founder of Impact Analytix, will share the most common mistakes – and battle-proven practices – to help you build better models.

  • The Last Mile: Implementing Your Data Strategy
  • On Demand

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Data leaders face a daunting challenge: implementing enterprise-wide data strategies that deliver tangible wins without sacrificing security, agility, and transparency. To successfully implement their strategies, they must approach this by deploying a solution that leverages existing investments while meeting changing organizational needs. We will discuss best practices for taking their data strategies through the last mile and how an Analytics OS makes it possible.

  • Moving from BI to Automated Machine Learning
  • On Demand

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Machine learning can turn enterprise data into insights that are delivered in an actionable narrative. It can automatically uncover the stories hidden in your data—stories you might never find with existing BI tools. Join Tellius and industry expert, Jen Underwood, to learn how companies today are moving beyond BI—leveraging automated analytics powered by machine learning to better understand their business.

  • Data Preparation Essentials for Automated Machine Learning
  • On Demand

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In order to run successful machine learning projects, and create highly-accurate predictive models for your business, you need effective data preparation. Although machine learning automation provides safeguards to prevent common mistakes, you’ll still want to correctly prepare, shape and format your data to generate optimal models. In this 45-minute session, Jen Underwood, Founder of Impact Analytix, will review how to organize data in a machine learning-friendly format that accurately reflects the business process and outcomes. We will share basic guidelines, practical tips and additional resources to help get you started mastering the essence of predictive model data preparation.

  • Monetizing Your Valuable Data Assets
  • On Demand

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A goldmine lurks within your valuable data assets for anyone to start mining. Every organization has raw masses of data stored within systems of record, content management systems, reports, Adobe PDF documents, web sites, social media feeds, log files or scanned artifacts that can be used for monetization.

Large organizations have appointed chief data officers (CDO) to take on the mission of maximizing data value and producing new revenue streams. Small groups and even individuals with a good idea can monetize data. The barriers to market entry have fallen. The technology is readily available and easily scalable. There has never been a better time to start scraping and shaping your data into digital gold.

  • How Smart Data Discovery Will Radically Transform Analytics
  • On Demand

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In a digital data-driven world, you need to be able to rapidly adapt to changes that can alter business models. Recently Gartner has been citing “smart data discovery” as the next disruption in analytics. Are you prepared for it?

Smart data discovery brings the benefits of artificial intelligence plus business intelligence to the masses. It delivers immediate guided answers and actionable recommendations. It improves decisions, unlocks hidden patterns and predicts future trends. With Google-search ease, Analytical Search technology within smart data discovery allows users to have conversations with data – ask questions and get contextually intelligent answers. Please join Jen Underwood, Founder of Impact Analytix, LLC, and Jason Gran, Data Scientist at Tellius Inc, to explore smart data discovery and why it will be an essential component in your analytics arsenal.

  • Getting Started with Automated Analytics Powered by Machine Learning
  • On Demand

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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.

  • TIBCO Spotfire Today: Explore the Best in Analytics
  • On Demand

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The brightest minds in analytics use TIBCO Spotfire® to turn data into a strategic competitive advantage. From connecting to hundreds of data sources to anticipating what's next, explore why TIBCO Spotfire provides unrivaled simple-yet-sophisticated visual analytics.

  • Machine Learning + Tableau
  • On Demand

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Tableau and Kinetica’s GPU database together make self-service analytics easy, simple, and instantaneous. Now you can query small or massive multi-billion row datasets in seconds for discovering real-time, intelligent insights. Kinetica opens the way for Tableau to use GPU’s brute force compute and machine learning libraries such as TensorFlow, Caffe, and Torch along with Apache NiFi, Kafka, Spark and Spark Streaming, and Storm for fast OLAP, IoT, and streaming analytics. With Kinetica, Tableau business analysts and analytics pros can interactively explore and analyze billions of rows of data without long query wait times, timeouts, and tuning, enabling sophisticated big data discovery. Attend this webinar to hear from Jen Underwood, a recognized analytics industry expert and Jonathan Greenberg of Kinetica, to explore the many ways Kinetica database can be combined with Tableau to accelerate the delivery of intelligent insights.

  • Self-Service Data Preparation Governance
  • On Demand

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The self-service analytics explosion was supposed to make businesses more agile, analytical and confident in their decisions. Instead, this newfound agility and autonomy has led to confusion and a lack of accountability – and most importantly a loss of control over data usage. With everyone working in silos, there’s a developing mistrust of data and analytics outcomes and most organizations are more vulnerable to data governance, security, regulatory, compliance, and privacy gaps. Join Jen Underwood, industry expert and founder of Impact Analytix to discuss how to mitigate common governance risks and provide practical considerations for different types of analytical environments.

  • Embedding Analytics into Apps and Business Processes
  • On Demand

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Organizations across the business spectrum are awakening to the transformative power of data and analytics. To truly become a data-driven organization and increase analytics adoption, explore embedding analytics into apps and business processes your users already love. It is easier to bring analytics to the user than to change a user. In this session we will share “how to” embed Pyramid Analytics intelligence into your apps, lessons learned, and best practices to deliver insights when and where decisions are made.

  • Architecting Your Customer 360 Data Lake for Today and Tomorrow
  • On Demand

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Customer 360 data lakes unify a wide variety of data from all customer touchpoints – streaming, structured data files, unstructured documents, emails, webchats, web logs, transaction logs, and social posts. In this on-demand webinar, Jen Underwood of Impact Analytix along with Isabelle Nuage of Talend discuss how to architect a Customer 360 data lake to break down customer data silos by using an agile, modern integration platform. We'll explore Talend's integration, cleansing, governance, data security and privacy innovations and also share an enterprise data lake reference architecture.

  • Transform Your Business with Automated Embedded AI
  • On Demand

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Artificial intelligence technologies are now everywhere. However, businesses are just starting to understand their value and how to integrate them into their business model to gain competitive advantage and greater assets performance - especially when combined with automation. Tellmeplus and Impact Analytics worked closely together to produce a white paper explaining how AI has become a critical additional force for companies in any industry. Please join us to explore this timely, exciting topic.

  • Data Science with Excel, Open Source R, and Python for Data Analysts
  • SOLD OUT

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Quantifying business situations for forecasting and analytical modeling is an art and a science. This fast-paced course, taught by Impact Analytix Founder Jen Underwood, is designed for intermediate level data analysts. Hands-on labs will allow students to apply learned concepts to solve problems with popular open source R, Python, Weka, and Excel. After a quick introduction of data science foundation topics, we will work through a variety of descriptive, diagnostic, predictive, and prescriptive problem solving techniques across the entire advanced analytics lifecycle.

Participants will gain an understanding of when to choose specific analytic techniques, algorithms, and tools to solve common business problems. We will also dive into the critical importance of data preparation and sampling. After learning how to effectively develop models, we will cover evaluating models and embedding intelligent analytics into smart reports, dashboards, and applications to deliver actionable insight. For more information, please contact us.

  • Rethinking the Data Warehouse for Business Data
  • On Demand

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A data warehouse in the world of big data is no longer a truism, but when analyzing complex business data it remains the norm. Why? Because business data, characterized by complex join logic, requires hours, and even days, to perform simple queries without pre-aggregation.

What if you could bypass the data warehouse all together and run complex queries on source data returning results in seconds? Sound impossible? Not with Incorta’s new Direct Data Mapping engine

Join Impact Analytix Principal Consultant Matt Morris as he walks through his latest paper, “Incorta: The Modern Replacement for Your Data Warehouse.”

  • Embracing Governed Excel in an Enterprise BI Strategy
  • On Demand

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Excel is the most loved analytics tool in the world with over a billion users worldwide. It's loved by users for it's flexibility and accessibility, but IT often see it as a problem, seeking to remove it from the BI landscape. These attempts are usually futile - instead of wasting time, energy and resources trying to remove Excel from reporting processes, you should consider finding ways to responsibly embrace and govern Excel.

Concerns around ensuring Excel reporting accuracy, minimizing errors, easing report sharing pains and complying with regulatory requirements are legitimate and do need to be addressed. The real problem that you should be solving is how to best deliver and effectively govern Excel reporting across the enterprise.

XLCubed is a unique enterprise Excel-centric reporting solution. There is nothing else quite like it in the market today. In this webinar , we will introduce XLCubed, discuss what makes it a compelling solution for goverened Excel-centric reporting and how to incorporate it into your overall enterprise BI strategy.

Please join Impact Analytix Founder Jen Underwood in this must see webinar on Excel.