The document summarizes work done to redesign the user interface of a data analytics platform called Koa. It includes:
1. An agenda outlining the project goals, strategy, user research conducted, prototype design, and next steps.
2. Insights from comparing other data tools and interviewing users which informed the new design focused on simplifying navigation, contextualizing actions, and improving learnability.
3. A prototype of the redesigned interface created based on user research, with feedback indicating it was intuitive to use though some aspects like symbols and labeling could still be improved.
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Dashboards can contain an a lot of critical data. How much is too much? Evaluate your business needs and goals to determine what is the right data and what is too much content.
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Tableau - Make your SEO data work for you!Renco Smeding
In this presentation held on a Web Guide Partner breakfast seminar Renco Smeding and Gabriella Janni present how to use Tableau Software to efficiently analyze website data and identify keywords with high potential for driving more revenue. Tableau is a ground breaking data visualization tool making it easy to analyze vast amounts of data and draw actionable insights. Web Guide Partner is official Tableau partner and first digital agency working with Tableau in the Sweden region.
Dashboards can contain an a lot of critical data. How much is too much? Evaluate your business needs and goals to determine what is the right data and what is too much content.
By Idealware—Your senior staff and board of directors can benefit from the ability to view high level metrics for your organization, but it’s not obvious how to easily pull such a thing together. We'll outline what has worked for other organizations to define the metrics that should be tracked, strategies for compiling data from different systems, and then possibilities for putting it all together into a visual dashboard.
The Next Generation of AI-Powered SearchLucidworks
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The Next Generation of AI-Powered SearchLucidworks
Trey Grainger, Chief Algorithms Officer, at Lucidworks delivers the closing keynote for ACTIVATE 2019, the Search and AI Conference hosted by Lucidworks.
This webinar will review online intake, what it is, how it fits in the delivery of legal services continuum, and share two models of how two different programs have implemented it. Our examples from WA and NH will cover how online intake overlaps with telephonic intake and in person intake and how these programs manage online intake to promote access to legal services. We will then discuss the nuts and bolts of what legal non-profits need to be aware of and know before they start an online intake from a technology point of view. We will wrap up with an example of how to use intake data to facilitate and support regional resource allocation and collaboration across agencies as a way to promote systemic regional advocacy and effective resource allocation. The training will be helpful for those considering online intake projects, or for groups already doing online intake who are looking for examples/ideas of how other groups are maximizing the potential of online intake and its fruits. Attendees are strongly encourages to review prior online intake presentations available at (http://lsntap.org/Internet_Intake_Webcasts) as background, but not required.
SearchLove London 2018 - Els Aerts - User Research Done RightDistilled
User research, understanding your users and finding out what makes them tick, is crucial to driving growth. In this talk, Els will share some of her favourite tools and showcase where user research made all the difference.
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Developers sometimes begin a project by racing to the specification document and an ERD. Wait! Even if you're developing iteratively, there's a huge amount of potential being missed in most projects.
I propose that your projects will be more successful and valuable to your clients if you think of yourself not just as a database developer but as a process consultant. This presentation outlines a few concepts for addressing the human and political aspects of database system development and concludes with an example scenario.
This was presented at a FileMaker training session and is my first public presentation. Thank you for looking!
How To Drive Data Driven Change In A Legacy OrganizationJovi Pinon
LexisNexis was a pioneer in digitization of legal and journalistic documents, but it has not been a very data-driven organization. In this presentation I discuss how the Product Analytics team is pushing data-driven change in our organization. Being a legacy company, most product decisions were made based on the product owners’ experience or sales' understanding of what our customers want. Now we are taking a more evidence-based approach. I am going to share my experience of how we collaborate with the User Experience team to create customer centric product enhancements. This talk will give you an idea on how to understand the “What” and “Why” of customer problems and come up with solutions based on behavioral analytics and user experience data. Along with the success story this presentation will also highlight the constraints, intermediate failures, and lessons learnt.
This presentation was given to the Tech Change Technology for Monitoring and Evaluation Diploma course on 25th September 2015. It covers:
Why visualise data?
Where to start?
Which tools to use?
It ends with an overview of Kwantu's approach to this area and the technology choices that we've made.
Analytics & Data Strategy 101 by Deko DimeskiDeko Dimeski
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Data Analytics is already beginning to impact how projects are delivered. We can now automate minute taking and capturing actions, we can use Flow to progress chase, Power BI reduces the burden of reporting.
But we are just scratching the surface. It won’t be long before we can leverage the rich dataset of experience to predict what risks are likely to occur, understand which WBS elements will be susceptible to variance, deduce what the optimum resource profile looks like, define a schedule by leveraging data from those projects that have gone before.
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Presenter Martin Paver is a Chartered Project Professional, APM Fellow and Chartered Engineer. In December 2017 he established the London Project Data Analytics meetup which has quickly spread across the UK and expanded to 3000+ members. Martin has major project experience including leading a $billion projects with a team of 220 and a multi-billion PMO with a team of 50. He has a detailed grasp of project management and combines this with a broad understanding of recent developments in the field of data science. He is on a mission to ensure that the project management profession readies itself for a transformed future.
Learning outcomes:
- Understand the implications of advanced data analytics on project delivery
- Understand the scope of which functions it is likely to impact
- Help you to develop a strategy for how you engage with it
- Understand how to leverage the benefits and opportunities that will emerge from it
Presenter:
Martin Paver, CEO & Founder, Projecting Success Ltd
Slides for Xin Fu and Hernan Asorey's tutorial at 2015 KDD conference. Talk covers key aspects of Data Science partnership with Product, including how to create a solid foundation for the partnership, how to leverage technology, as well as recruiting and team structure.
Talks from:
Martin Farley (GSK) - Managing Data in Confluence
Jacek Wizmur-Szymczak and Pawel Mazur (Spartez) - Agile Estimation
Marlon Palha
Dileep Bhat
Madhu Matrubai
Online Exams System fulfils the requirements of the institutes to conduct the exams online. They do not have to go to any software developer to make a separate site for being able to conduct exams online. They just have to register on the site and enter the exam details and the lists of the students which can appear in the exam.
2. Agenda
1. Project Goals and Strategy
2. Comparing Data Tools
3. Empathizing with Users
4. New Design and Prototype
5. Next Steps and Path Forward
3. Project Overview
Goal:
• Increase ease and speed of user interacAon with the
applicaAon
Objec-ves:
• Create consistency across plaDorm
• Improve navigaAon
• Redesign query and reporAng processes
5. Analyzing data management
tools
Effects on the final design:
• Simplified navigaAon
• Contextualized acAons
• Maximized use of screen real
estate
• Improved learnability
• Greater flexibility and
customizaAon
7. CustomizaAon
I want to adjust preferences based on what metrics I
am looking for.
-Kristen
Used a lot of filters/categories to query very
specific data
-Tim
PorJolio customiza-on could be really helpful
-Josh
Web data tools need a "friendliness factor”
-Kristen
8. Querying
It was hard to go through a web tool to query for
specific data
-Kristen
Would take 30 minutes just to figure out what
everything means.(where to find the data I need)
-Kristen
Lots of websites (for querying data)
were difficult/not intui-ve
-Kristen
9. Excel as Safe Zone
Excel does transform into
visualiza-ons at a granular level
-Josh
Excel is most common - I did
all my analysis in Excel.
-Josh
Excel is my safe zone. We all used
excel for our analysis
-Tim
10. Persona
Adam the Analyst
Age: 24
Work: Hedge Fund Analyst
Family: Girlfriend
Location: NYC, NY
Character: The Analyst
Analytical Professional Sense of Humor
Brands
Goals
Adam hopes to get promoted to a PM at the hedge fund he works at
Adam needs to evaluate a new deal using the Koa softare his firm uses
Adam hopes to move in with his Girlfriend, Annie, back home in
New Jersey
He loves sports and is currently in a fantasy league with his college
buddies from Penn State
Going through a complicated reporting and exporting
process
Putting together complex reports without having all
of the information available
Knowledge &
Skills
Tech Savvy
Coding
Excel
Data Driven
Frustrations
Adam is very motivated analyst at the small hedge fund he works at.
He likes to be as efficient as he can at work and doesn’t like to have
to learn new programs.
He has been provided the task of looking into a specfic deal and
the loans inside of it to help determine the health of that deal. Adam
has to find the reporting around that deal and will have to export it
and send his findings to his manager for the buying decision
Bio
Introvert Extrovert
Creative Analytical
Passtive Active
Personality
“Excel is my safe zone.”
11. Koa needs navigaAon that allows users to efficiently query for
data so they can easily find the informaAon they seek.
Problem Statement
12. Current Koa Web Site
Usability Feedback:
• Steep learning curve
• NavigaAon wasn’t intuiAve
• Finding fields was Ame
consuming
• Unsure what was
acAonable
• Difficult to determine
order of operaAons
Current Koa Web Site
13.
14. The IniAal Design
“I’ve done reporting before so
looks a lot like what I used to use.”
What Went Well:
• Learnability
• Recognition
• Intuitive User Flows
• Useful (in some cases delightful) Functionality
“As soon as I clicked deal info it was very intuitive that
the symbol meant it’s a table”
“The more I used it, the more it
made sense to me.”
Opportunities for Improvement:
• Symbols and Signifiers
• Contextualizing Actions (Action menus)
• Clearer Terms and Labeling
• Directing User Attention
“I went straight to the table
actions because I am exporting
the table.”
“I didn’t know to hit plus, but
guessed”
15. Usability TesAng Feedback
“I don’t know what the back buYon does. Does it clear
columns or refresh data? A rewind icon may work
beYer.”
“I thought pressing the plus sign would populate the data
graph. Look at Excel for ideas such as it’s ability to handle
lots of data at a Ame.”
“It’s a lot of informaAon to look at at first but when
given a task it all made sense and was very simple to
use.”
“Does the hamburger icon give me more informaAon?”
16. See only what you need,
exactly when you need it.
Flexible Analysis
Custom Data Tables
Custom Filters
Custom Pivots
Customized ReporAng
Drill down from the module level to the loan level
Export custom datasets for analysis in proprietary tools
Find and move specific loans to sale and securi-za-on
Fast Searching
Focused Results
Dynamic Search
Analyze mul-ple loans at once
18. Next Steps: Usability TesAng
• Keep exisAng deal to loan drill down
• Most useful default reports to include
• Default page content for Pricing, Due Diligence and
Asset Management Modules
• LocaAon and wording of acAons in acAon menus
• If pivot fields are likely to be used improperly when
conducAng queries
19. Next Steps: Features
• Individually saved filter and pivot
combinaAons
• Bring back individual column
filters as seen in current tool and
excel
• Tabbed data tables for comparing
mulAple datasets
• More focused/ more useful
default reports
• Pre-set column, filter, and pivot
groupings to serve as search
“building blocks”
• Enhanced pre-packaged reports
• Saved preferences Aed to user
profiles
• IntegraAon with the dashboard
Near Term: Long Term: