DataBlick provides a full spectrum of consulting services for all your Business Intelligence and Data Visualization needs, offering fully customizable solutions for your organization in one, or every step, of your Business Intelligence solution life cycle.

  • Business Reporting Solution Analysis
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  • Rapid Prototyping and Visualization of Data Solutions
  • Modeling of Process Flows and Data Structures
  • Project Design, Development and Deployment
  • Training
  • Report, Dashboard and Presentation Customization and Design

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Please visit the DataBlick gallery:

  • 30 Minutes... Bay Area Bike Share 30 Minutes... Bay Area Bike Share
  • Stairs of the City Stairs of the City
  • Twitter TV Twitter TV
  • Firework Injuries Firework Injuries
  • Let's Move Let's Move Let's Move made it to the final four, scoring 3rd place in the 2013 Tableau Elite 8 Makeover contest. Using the new sets feature in Tableau 8, I remade an existing dashboard on contributors to obesity to show how multiple criteria may affect the healthy weight by US county.
  • Federal Budget and Presidential Popularity Federal Budget and Presidential Popularity This viz was created before the 2012 Election to showcase Federal Budget deficits and surpluses, as well as the % of GDP the budget represented, over time. An additional view of presidential popularity was also provided along the same timeline. No correlation is implied. It is interesting to now the extreme volatility of popularity as well as the limited number of Presidents who enjoyed an increase over time. The viz provides insight as to the effects of historical events, such as wars and economic fluctuations may affect popularity.
  • Tableau 2012 Iron Viz Championship - Tornado Alley Tableau 2012 Iron Viz Championship - Tornado Alley This viz was created for the Tableau 2012 Iron Viz competition in San Diego at their customer conference. It was created in 20 minutes, while onstage, using a provided data set. The viz shows the region called "Tornado Alley" and compares the number of tornadoes and fatalities to other regions. It was the winning viz!
  • The Great Divide The Great Divide This viz was created based on the research of Thomas Piketty and Emmanuel Saez, "Income Inequality in the United States, 1913 - 1998". It shows the Income Share or Average income over time and by income group. It also provides an additional layer of user selected historical context data, such as GDP and CPI and the ability to change the "benchmark" year so changes relative to a specific time period such as wars, or deregulation can be highlighted. This viz was the winner of the Tableau 2012 Biz Viz contest.
  • Heatmap Checkout Abandonment Flow Heatmap Checkout Abandonment Flow This viz displays a visual walkthrough of the checkout process for a fictitious retailer. Rather then display a table or funnel of the data, this layout uses images of the checkout flow as background maps, shows visually where the abandonments occur. This allows the added insight of examining the UI along with the data adding richer insight into the flow.
  • Dynamic Report Templates Dynamic Report Templates This presentation was created for the Tableau 2012 user conference Tips and Tricks session. It walks through how to create a dashboard "application" for users that may want to have a simplified way to create basic reports, dashboards or charts, such as for PowerPoint presentations. The output is highly formatted and presentation ready, shielding the user from having to do any formatting or branding. The concept uses the sample data from a fictitious coffee merchant. The user has the ability to select the report attribute being reported on, the metric uses to monitor performance, filter criteria and the output chart or dashboard display. Use the tabs to walk through the presentation as well as a step by step "how to". The concept is called the "Chart-o-Matic".
  • The way to the 'ship The way to the 'ship This vis was created to celebrate the Giants winning the 2010 World Series. It shows key stats for the players by pre and post season so the user can compare stats easily across players and the two teams and how the players performed as the season progressed. Obviously the post season games are not enough of a sample size for a true comparison.
  • Take me out with Tableau Take me out with Tableau This was a very early attempt to design a viz for mobile devices using 2009 baseball data. Based on the design of an antique pinball game the user could quickly get stats on the current pitcher and batter at a game. The stats were color coded (red to blue) to provide a quick visual cue as to if the player was performing above or below average compared to other players. In addition the field below showed the number of hits for the season that had been single, doubles, homeruns,etc, plotted out on the vintage diamond. This was my first use of a custom background image and mapping the data based on coordinates.
  • School API Scores and Enrollment Requests School API Scores and Enrollment Requests This viz was created to allow parents in San Francisco to look at API scores and growth vs. Previous year by school as well as the requests for spots available in the school. The user can see scores and growth geo-plotted on a San Francisco map.
  • School Lottery Probability School Lottery Probability In San Francisco there is a school lottery system instead of pure neighborhood schools. Families apply to 7 schools and hope to get one of their choices. Based on previous year's enrollment and capacity statistics, this viz allows users to select 7 schools either by selection criteria and filters, or by geography and calculates a probability that they will get one of their choices.
  • Who's a Chubby Bunny Who's a Chubby Bunny Who's a Chubby Bunny is one of the first dashboards that I made using Tableau back in 2009. I was on a plane ride to Scotland and my son who was 5 at the time wanted to know what I did for a living. Using data on factors that could potentially contribute to obesity, I created a correlation chart that allow the user to select a factor and see if there is a relationship. The bunnies are color coded for US region to allow further analysis. The focus was to play with the ability to customize the shape options by using marshmallow peeps and to make my job interesting to a 5 year old.

9 thoughts on “home

  1. Hi Anya,

    I was reading one of your articles (http://www.tableausoftware.com/public/blog/2014/04/custom-background-mapping-mayhem-2443) and your maps look great. I was interesting in exploring something similar however I haven’t had much success in incorporating TMS sources such as Mapbox and Stamen, at least not through WMS.

    Strangely, through the UI Tableau only allows you to add WMS map sources. Most modern map services such as Google Maps, Mapbox and Stamen provide a TMS service, projected in Web Mercator (EPSG:3857). I have managed to serve TMS layers up as WMS using the excellent MapProxy but when I brought them into Tableau I got poor results and a slightly distorted map.

    It turns out there are a couple of open issues related to Tableau forcing the map projection to EPSG 4326 which might explain the distortion and deterioration in the quality of my map tiles.

    An alternative method (forgetting about WMS) is to add addition TMS sources to the Tableau Repository (desktop or server installation) by adding an appropriately formatted .tms file describing the mapping source; as documented here…


    I would be interested to know whether this is the approach you had to take because I noticed you used Geoserver but I wasn’t aware that you could incorporate TMS layers into Geoserver.



    1. Hello David,

      Thank you for your comment. I have not had luck with the TMS layers on my Geoserver, sorry. Actually in the link you posted to Allan’s site, you will notice at the bottom of the post that the text and pictures of the step by step actually came from me :-) And that is how I did my bike share viz. I agree that mapping has along way to go in Tableau and would love to be able to use leafletjs, mapbox, etc.

    1. Hello Michela,

      Thank you so much for contacting DataBlick. I will send you an email with my contact information. I look forward to hearing about your Tableau projects.


  2. Hi Anya – Very impressed with your Tableau capabilities and am interested in enlisting Datablick’s services. Could you send me an email?

  3. Hello – I am interested in utilizing your visualization services.

    Please let me know what number I can call you at or email I can write to you at?


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