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Sessions Found: 56
In this hands-on session, Lynn will share, show and teach how to get more value of your data by using her favorite free tools for analysts. 
She will take you through the common data projects stages (survey, clean, locate, process, store, query and analyze) and will show you tools which can help you be more effective at each of these stages. 
Tools shown will include those which help you to find and fix mistakes in your source data, to tools which visualize your data in a useful way and many more.
Speaker:

Session Type:
Pre-Conference Session (full day)

Track:
Unlocking Big Data

Level: 100

Session Code:

Date: April 20

Time: 8:30 AM - 4:30 PM

Room: Great America K/X

Room Capacity:

This session will be rapid fire, fast-paced experience, focusing on all sorts of reporting tips.  This session is for the YouTube generation.  Do you have a short attention span?  Are 15-second commercials too long to sit through?  Do you want the very best reporting tips collected from watching hundreds of videos and reading a library of books, plus years of reporting experience?  Come to this session.  We have tips on Excel, data visualization, interviewing stake holders, organizing reporting teams, securing reports, consolidation, dashboard design, SSRS, SSIS, and T-SQL authoring.  You're guaranteed to learn something actionable that will make you more effective in your career.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Breakout Session (60 minutes)

Track:
Visualize & Inform

Level: 200

Session Code:

Date: April 21

Time: 2:30 PM - 3:30 PM

Room: Grand Ballroom G

Room Capacity:

Most organizations lack an approach that lets them specify their requirements for BI or for analytics more broadly. Their ability to find opportunities for, and successfully use, more advanced analytics is limited. In this session, James Taylor will introduce decision modeling with DMN, a new standards-based approach to modeling decisions. He will introduce the core concepts of the approach and show how it can be used to drive more effective requirements for BI, dashboard and analytic projects. Attendees will learn how to begin with the decision in mind, defining their BI requirements in terms of the decision-making they need to improve.
Speaker:

Session Type:
Breakout Session (60 minutes)

Track:
Analyze & Interpret

Level: 100

Session Code:

Date: April 22

Time: 9:45 AM - 10:45 AM

Room: M2

Room Capacity:

Anybody can create an add-in for Excel. They're fast to create and easy to setup. Creating one which will work right out of the gates can take some time. In this session we will discuss an overview of "why" and "when" to go the route of an add-in. This session will assume you already know what an add-in is and how to create one, and will be targeted to a more advanced audience, perhaps those who've already created several add-ins.
In many cases your business may have a resident Excel expert on-hand, or that might even be you. Going for outside help or consultancy can be an extremely expensive endeavor (not to mention how many bad developers there are). This means any add-in need which comes up could be handled by the resident guru. Is that you?
Ranging from logical coding scenarios to shared add-ins over a network, this session will have pearls for your guru. Add-Ins can give your tools a beautiful and elegant UI and save you and your users countless hours of work by automating tasks.
Speaker:

Session Type:
Breakout Session (60 minutes)

Track:
Visualize & Inform

Level: 300

Session Code:

Date: April 22

Time: 2:30 PM - 3:30 PM

Room: M2

Room Capacity:

Join us in this demo packed session where we look at how the new Power BI designer can solve complex business problems with ease. This session will explore new functionality in the Power BI designer around complex relationships between tables and additions to the DAX language to support new types of business logic. We will use many demo's using real world examples to highlight these new features. 
Speaker:

Session Type:
Breakout Session (60 minutes)

Track:
Analyze & Interpret

Level: 300

Session Code:

Date: April 22

Time: 11:00 AM - 12:00 PM

Room: Grand Ballroom G

Room Capacity:

Predictive Analytics (PA) has emerged as a “go to” approach to creating data-driven business decisions. The science of PA is not new, the algorithms are not new. What is new is how these techniques are applied to big and small data as organizations collect and integrate data that provide better information for predictive modeling.
This sessions will provide a practitioners overview to Predictive Analytics and four of the most misunderstood topics: data preparation, sampling, the strengths and weaknesses of algorithms, and how to assess model accuracy. 
Speaker:

Session Type:
Pre-Conference Session (full day)

Track:
Analyze & Interpret

Level: 100

Session Code:

Date: April 20

Time: 8:30 AM - 4:30 PM

Room: M1

Room Capacity:

PowerPivot is a revolutionary technology from Microsoft that allows Business Analysts to rapidly develop meaningful business tools with speed and flexibility that was previously impossible.  
After an Analyst creates value-added reports, the next step is to multiply the value and business benefits by sharing their tools across the organization.  
In this practical “how to” session, you’ll learn how to quickly deploy PowerPivot Workbooks across the organization using SharePoint, extending the value from the reports while reducing the effort to refresh reports. You’ll learn patterns that can be replicated to help you get started without having to be a SharePoint expert or the need for IT support.  
From this session, you’ll head back to work understanding the optimal way to present data for business executives to consume via a “positive web browsing experience.” You’ll also have the practical advice on how to explain the value to your organization’s decision makers.
Speaker:

Session Type:
Breakout Session (60 minutes)

Track:
Visualize & Inform

Level: 200

Session Code:

Date: April 22

Time: 1:00 PM - 2:00 PM

Room: Grand Ballroom H

Room Capacity:

Critical decisions need to be made anytime, anywhere, and on any device.  Delivering immediate answers to questions when and where your consumers need it most, in the field or on the go, can be a bit of a challenge.  With half of the world's businesses adopting bring-your-own device (BYOD) policies by 2017 and more than 80% of employees already using personal mobile devices in the workplace, it's more important than ever to effectively deliver actionable insights to a variety of mobile devices.  In this session, we will walk through common challenges, considerations, tips, tricks and best practices for designing mobile dashboards.  Be sure to bring your own tablet or smart phone to this session to participate in live demos.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Breakout Session (60 minutes)

Track:
Visualize & Inform

Level: 200

Session Code:

Date: April 21

Time: 9:45 AM - 10:45 AM

Room: M1

Room Capacity:

So you’ve played around with Power Query in Excel; now it’s time to put it to work. In this session you’ll learn how to ‘think’ in Power Query. You’ll see a number of examples of how Power Query can be used to solve real world problems and understand the best practices and patterns that you can take back to work and use immediately. Examples will include:
• Creating and using a parameter table
• Combining data from multiple Excel workbooks into a single data set
• Handling errors and unavailable data sources
• Calling web services, handling authentication and working with XML
• Performing sentiment analysis in Excel with Power Query and Azure Machine Learning
Speaker:

Session Type:
Breakout Session (60 minutes)

Track:
Discover & Integrate

Level: 200

Session Code:

Date: April 22

Time: 9:45 AM - 10:45 AM

Room: Grand Ballroom H

Room Capacity:

2-Hour Lab 
Countless ads and articles from software vendors claim that you need to “outgrow the spreadsheet” and learn a whole new platform and language (theirs) in order to build analytic models and solve decision problems.  Yet virtually all these tools feature “Excel import/export” buttons, and meanwhile tons of users have built analytic and decision models directly in Excel, often getting big payoffs.  So, can you do it?  Sure you can, but it requires a somewhat different way of thinking about your spreadsheet model, and more than simple calculation.  In this hands-on session, you will do it!  We’ll walk you through creation of Solver models for optimization, Monte Carlo simulation models for risk analysis, decision analysis models and more in Excel 2013, running on supplied PCs at your lab room seat.  Analytic decision models are very often based on the summarized data we get from business intelligence tools – so we’ll use Power Pivot and Power Query to retrieve, summarize and deliver the data we need for our Excel-based analytic models.
Speaker:

Session Type:
Lab (120 minutes)

Track:
Analyze & Interpret

Level: 200

Session Code:

Date: April 21

Time: 3:45 PM - 5:45 PM

Room: Great America K/X

Room Capacity:

2-Hour Lab
The concept of a data lake is emerging as a popular way to organize and build the next generation of data systems to master new big data challenges. Organizations are seeking to create data lakes because they manage and use data with increased volume, variety, and unprecedented velocity.  However, how can data professionals and analysts access the data lake for the expected insights at the velocity required by the business?  
In this session, we will take every day relevant business scenarios to learn how to spring business value from data held in the data lake, in order to answer key questions:
•	How do we import structured, semi-structured and unstructured data into our data lake? 
•	How can we access unstructured and semi-structured data to derive value for the enterprise? 
•	How do we do analytics and reporting over the data lake in Hadoop? 
•	What are the similarities and differences between accessing data held in a data lake in terms of architecture and syntax?
In terms of the technology, we will springboard from SQL to learn how to do familiar activities such as import, access and visualise data in our data lake. To do this, we will use technology such as Hive, Hue, and the Hadoop Distributed Files System (HDFS) as a data source.
Come and join us for this practical two hour session which will build on your existing SQL skills to demystify Big Data and the Data Lake for analysts. This session is aimed at people who want to keep pace with the latest Big Data technology by adopting the latest techniques to explore the data lake, building on their existing analytical knowledge.
Speaker:

Session Type:
Lab (120 minutes)

Track:
Unlocking Big Data

Level: 200

Session Code:

Date: April 21

Time: 9:45 AM - 11:45 AM

Room: Great America K/X

Room Capacity:

Join us for a walkthrough of how a real business took their data from a point of sale system / SQL database to Power BI to drive decisions throughout all areas of their organization. This restaurant/bar incorporates dashboards and reports as a primary communication and decision making medium, not only for managers and owners, but also as a vertical integration with employees, vendors and even customers! We will explore, in depth, each usage scenario and learn tips and tricks to maximize the benefit of expedient insights.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Breakout Session (60 minutes)

Track:
Visualize & Inform

Level: 100

Session Code:

Date: April 22

Time: 2:30 PM - 3:30 PM

Room: M3

Room Capacity:

Budgeting is one of the most challenging scenarios in the Power Pivot arena. For example, you might need to summarize sales in previous years and to allocate the budget forecasts. You have to work with data at different granularities and to find a way to author DAX code to compute the forecasts at the desired granularity.
When it comes to budgeting, each company is a unique scenario. In this session, Marco will show you some common techniques to use when building a budget model with Power Pivot and Power Query, including previous year allocation, multiple-step budgeting with linked back tables, handling of budget on products which do not yet exist.
Speaker:

Session Type:
Breakout Session (60 minutes)

Track:
Analyze & Interpret

Level: 300

Session Code:

Date: April 21

Time: 2:30 PM - 3:30 PM

Room: M3

Room Capacity:

Learn how to create interactive & advanced charts in Excel in this hands-on session. Grow your charting repertoire beyond simple bar & column charts. Specifically, you will gain below skills:
•	Interactive charts with form controls, slicers & VBA
•	Mixing 2 or more chart types in to one view - case study
•	Panel charts - communicating a lot of information in one view
•	Charting best practices & principles
•	How to speed up chart formatting & replication like a superhero
Example charts you will create by end of this session:
<a href="http://cache.chandoo.org/images/c/analytical-charts-demo.gif" target="_blank">http://cache.chandoo.org/images/c/analytical-charts-demo.gif</a>
<a href="http://img.chandoo.org/c/then-vs-now-chart-with-details-demo.gif" target="_blank">http://img.chandoo.org/c/then-vs-now-chart-with-details-demo.gif</a>
<a href="http://img.chandoo.org/vp/interactive-sales-chart-demo-2.gif" target="_blank">http://img.chandoo.org/vp/interactive-sales-chart-demo-2.gif</a>
Speaker:

Accompanying Materials:

Session Type:
Pre-Conference Session (full day)

Track:
Analyze & Interpret

Level: 200

Session Code:

Date: April 20

Time: 8:30 AM - 4:30 PM

Room: M2

Room Capacity:

This session provides you with guidelines for what you should be measuring, what tools to use to report on what you are measuring, and how to improve the user adoption of reporting tools. Learn how to:
•    Determine the most appropriate BI tools to use given your organization’s BI maturity and what key performance indicators (KPIs) you should be using 

•    Identify the most effective way to tie KPIs to your organization’s strategic direction 

•    Determine the appropriate analytic direction to take once a KPI measurement is missed (stop light turns red) 

This presentation will show the audience how to develop a reporting strategy that optimizes user adoption.
Speaker:

Session Type:
Breakout Session (60 minutes)

Track:
Communicate & Lead

Level: 100

Session Code:

Date: April 22

Time: 3:45 PM - 4:45 PM

Room: Grand Ballroom H

Room Capacity:

2-Hour Lab
Learn how to create awesome charts using Microsoft Excel. Understand the principles behind chart selection, creation & formatting to impress & communicate. In this hands-on session we will be creating many Excel charts for common business analysis needs, understand why they work, how to improve them and what mistakes to avoid. 
• 6 types of analytical needs
• 8 recommended chart types
• Data to ink ratio & maximizing it
• How to choose colors & fonts
• Formatting guidelines
• Charts for Budget vs. Actual analysis
• Charts for trends & forecasts
• Charts for comparing and highlighting best (worst) performers
Who can attend: Anyone familiar with Excel and already creating charts (doing analysis). Recommended for CXOs, Managers or Analysts or people who need to communicate often.
Speaker:

Session Type:
Lab (120 minutes)

Track:
Visualize & Inform

Level: 200

Session Code:

Date: April 21

Time: 1:00 PM - 3:00 PM

Room: Great America K/X

Room Capacity:

This is an hour-long discussion on creating outstanding spreadsheet models in which Jordan Goldmeier proposes three conceptual points to optimize: layout & design; code & formulas; and presentation. He will go through each topic and provide the audience with directives to build better spreadsheet models. Most importantly, Jordan will provide the audience with the confidence and tools to apply such principles across spreadsheet models in all fields. 
Speaker:

Session Type:
Breakout Session (60 minutes)

Track:
Discover & Integrate

Level: 200

Session Code:

Date: April 21

Time: 1:00 PM - 2:00 PM

Room: M1

Room Capacity:

Microsoft Power Query for Excel is a new set of experiences to empower business analysts and end users to discover, acquire, and transform data of any shape and size. Join the Power Query team in this session to get an introduction to this wonderful new tool for Excel.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Breakout Session (60 minutes)

Track:
Discover & Integrate

Level: 200

Session Code:

Date: April 21

Time: 5:00 PM - 6:00 PM

Room: M3

Room Capacity:

It’s no secret that data visualization offers an opportunity to uncover hidden relationships and empower individuals to make data-driven decisions. To best recognize the benefits of data visualization, it’s important to understand how the human mind interprets inputs and processes information. In this presentation we will explore why data visualization falls into our biological sweet spot and supports our quest to communicate through visual storytelling.  Join us as we break down best practices to communicate analysis and build out the ‘Data Hero’s’ journey. I will draw from personal experience as a data analyst advising executive boards, my work covering the visualization marketplace, and my studies under an MIT neural engineer.
Speaker:

Session Type:
Breakout Session (60 minutes)

Track:
Visualize & Inform

Level: 100

Session Code:

Date: April 22

Time: 11:00 AM - 12:00 PM

Room: M2

Room Capacity:

Self-service BI is a great idea, with the Microsoft suite of Power tools going a long way to delivering this idea. For sophisticated users that can build models and analyse data using pivot tables, this is a great and effective solution. But what about the rest, those who just need results that they can use in their day job, the managers who just need the figures to help them make decisions?
Dashboards with good charts and graphics go some ways to delivering information for such users, but often a good table of results will give the correct amount of detail to gain the necessary insights, and is easy to read. With the aptly named CUBE formulas, Excel has the capability to read data directly from a data cube in the spreadsheet. This is a great way to build structured output in Excel, in the form of a simple table. The problem with this approach is in managing the data changes, changes in the underlying data can mean more or fewer rows of data to show in your table.
This session is not intending to explain how to use those CUBE formulae, although using them in the presentation will show their usage, as it is assumed that the audience at least knows of them and what they each do. Instead, the emphasis is on showing how to use other Excel formulas to manage the output, building a truly dynamic display that caters for changes in the size of the underlying data, whilst also handling those ugly #REF errors that can occur when users insert or delete rows above the output table.
Given time, we will add a little MDX to the formulas to show further dynamic capability.
Speaker:

Session Type:
Breakout Session (60 minutes)

Track:
Visualize & Inform

Level: 200

Session Code:

Date: April 22

Time: 1:00 PM - 2:00 PM

Room: M2

Room Capacity:

Sessions Found: 56