Expero Online Seminars
June 19, 2017
Losing Customers Because of Old Software? (From Client-Server to Cloud #1)

Updating a legacy application is a journey with many complex moving parts, however, determining if your software is worth modernizing and planning a path forward can be done relatively quickly. The key to successful software modernization (and squelching feelings of dread on the topic) is having a sound plan that addresses all aspects of modernizing an application from technology to business case to user experience. 

In this session of our client-server to cloud seminar series, we share proven methods for determining if modernizing makes sense for your application, a checklist of considerations, and a Lean process for creating a sound modernization strategy.

May 20, 2017
Expero and Datastax Interview from OSCON 2017

Scott Heath and Patrick McFadin talk about how Expero and Datastax are partnering together to solve complex problems with graph data.

April 28, 2017
5 Things Developers Should Know About UX

Software and web developers often wear many hats, including the UX/UI hat. But some developers lack the knowledge and skills to design UIs or to collaborate effectively with UX designers and researchers. This can lead to a bad user experience, low user adoption, high support costs, unhappy customers, and the need to spend time and money refactoring. 

As UX and software development consultants who have worked with dev teams for years, we know how to bridge the knowledge gap. In this online seminar, we present 5 things your front-end and back-end developers should know to deliver a high-quality user experience. We’ll provide case studies and examples from our client projects and the work of others. 

What you'll learn: 

  • 5 things your dev team should know to deliver a high-quality UX
  • Which roles your front-end and back-end developers could and should play in UX work
  • Key UX best practices and techniques relevant to developers
  • Ways your dev team can collaborate with other disciplines to avoid building the wrong thing
  • How to provide both a great UX and great performance with large data sets
  • Which roles your front-end and back-end developers could and should play in UX work
  • Key UX best practices and techniques relevant to developers
  • Ways your dev team can collaborate with other disciplines to avoid building the wrong thing
  • How to provide both a great UX and great performance with large data sets
April 7, 2017
Why You Need A Graph Database to Understand Your Customers

Companies across a variety of industries are trying to attain a holistic view of their customers.  From creating a more personalized experience, to creating more timely and relevant support, to simply marketing to them more efficiently and effectively, there are tremendous gains to be had with a 360-degree view.  

However, achieving this 360-degree view requires serious data — or more accurately, serious crunching and analyzing of data to understand customer relationships across every touchpoint and multiple business units.

Sound challenging? It was. Until graph databases.

Traditional data stores and algorithms can’t handle interactions across multiple touch points in real-time —these days your customers will not wait for your batch job to complete.  However, new graph technologies provide unique benefits for getting that all-important Customer 360 view.

What you'll learn:

  • Leverage a graph database to support your 360 project
  • Manage customers through multiple client channels and gather a complete timeline of their interactions
  • Identify actionable user behaviors
  • Create a real-time comprehensive, 360 view of your customers
March 9, 2017
Bringing Game-Changing Insights to Your Business with Graph Databases

Congratulations! Your data is up and running in a graph database and you have big plans for this technology. But now the system is overtaxed and not performing properly. Don't worry- the database may not be the culprit. Proper user experience and visualization techniques can greatly improve performance and dynamic data interaction.

It’s easy to get mired in the complexities of graph technology and forget that real users, mere mortals, will need to use this information to inform mission-critical tasks. In this talk, we’ll take a hands on approach to applying a user-centered strategy and leveraging the latest UI tools to rapidly create great experiences with graph data.

We’ll also take a look at how DataStax Enterprise Graph (DSE Graph), a highly scalable graph database powered by the industry’s best version of Apache Cassandra™, coupled with Expero’s deep expertise in graph and analytics, can empower users to heuristically explore and visualize complex graph data in innovative and meaningful ways.

May 17, 2016
Intro to Graph for SQL People

Graph databases are a new paradigm for many folks. Hear Apache TinkerPop committer Ted Wilmes introduce graph topics and map them to their well-known SQL cousins.

December 22, 2015
Do You Need a Graph Database?

We are in an era of unprecedented innovation in databases. Data-intensive companies are grappling with whether the many new options — NoSQL, Key-Value, Document, Column Family, Column-Oriented — are appropriate for them. The commercial success of Facebook and LinkedIn makes graph databases a hot area of investigation. Unlike many new databases, they are not a variation on or a simplification of relational databases. Instead they require new ways of thinking and modeling data. In return they can answer truly novel questions.

August 12, 2015
Big Data: Designing & Architecting Reactive UIs

What do my users want to do with Big Data? How do they want to visualize it, interact with it and manage it? How big is my data, really? How much data can a human deal with at one time, and how much data should we process at one time? How can the UX accommodate data sources that respond at different rates?

If these questions resonate with you, then check out this tag-team webinar by Expero co-principal and UX designer Lynn Pausic and Expero President and software engineer Sebastian Good.

On the user side, Lynn discusses how to envision useful, usable interface solutions for serious Big Data problems, while Sebastian tackles the technical side of Big Data’s back end.

July 20, 2015
Using UI Prototypes to Validate Your Product

Are you a Product Manager looking to show some early design directions to stakeholders and end-users? Are you a Developer needing a little more direction from the design team? Or a UX Designer or Researcher trying to figure out how detailed your designs need to be to communicate your intentions and get valuable feedback from users?

In this webinar, Expero highlights the major differences between static wireframes and interactive prototypes, shows examples of the design fidelity spectrum, and outlines the best ways to leverage wireframes and prototypes throughout the product design life cycle. At the end of the webinar, you’ll even experience a wireframe-v-prototype battle royale through a series of mini user tests on a product designed specifically for this session!

May 21, 2015
Best Practices for Creating Useful & Usable Interactive Visualizations

Ever wonder about the best way to visualize your application’s data sets? Is a tree map the way to go? Maybe a bubble chart? Are there certain visual mechanisms that lend themselves naturally to certain data types? Do your users even understand common visualizations? This webinar can help.

Expero's Lynn Pausic and Chad Huff present best practices for creating useful and usable interactive visualizations for complex data sets, starting with ascertaining what your users will do with the data. The presenters show examples of battle-tested data visualization types and help you figure out how to make sure your users get the most out of the visualizations you create.

April 21, 2015
UI Design Patterns for Navigating Complex Data Sets

Using UI design patterns can lead to a 50% increase in product development efficiency, and it can dramatically improve usability and user adoption. This webinar discusses 10 patterns that help users interact with data tables and navigate large data sets.