News and Info

  • Web Scraping for Data Science — Part 2

    Wednesday, May 4, 2016 - 12:15
    Between R and Python, analytics pros are covered on most data science bases R-Python . In last month’s blog , I discussed simple webscraping using Python in a Jupyter notebbok, the nifty css-generating tool SelectorGadget , and the Python XML and HTML handling package lxml . This month I turn to R in Jupyter and and a similarly-focused package, rvest , written by R luminary Hadley Wickham. Let’s take a look at the code. 1)... [more]
  • Data, Algorithms – and Designs

    Thursday, April 28, 2016 - 09:45
    I came across an interesting read the other day surfing my digital The Economist . The article summarizes an academic paper by three foreign professors entitled "Directors as Connectors: The Impact of the External Networks of Directors on Firms" . The paper's point of departure is that in the U.S., the external networks of a company's board of directors significantly impact firm value and decisions. The authors hypothesize that such relationships drive business in proportion... [more]
  • Case Study: Rocky Mountain Health Plans

    Wednesday, April 27, 2016 - 14:00
    Inquidia worked with Rocky Mountain Health plans, helping them bring their analytics infrastructure to a new level. Inquidia implemented a robust data warehouse, using the Pentaho Data Integration platform for end-to-end data management. Business Challenges Required a robust integration and consolidation of disparate data sources. Enforcing data quality rules was time and resource consuming. Governance of a large technology footprint was extremely difficult. A legacy data warehouse, local Microsoft Access databases, multilayered processes, and manual... [more]
  • Peer-Powered Collaboration Brings Life to Enterprise Analytics

    Wednesday, April 27, 2016 - 12:00
    What are the forces driving Enterprise Analytics to center-stage? Some of the strongest are the freedom of analytics from centralization strategies, expansion of intuitive data visualization technology, increasing computing power enabling statistical rigor, and an individual’s expectations of instant service. Underscoring these trends is our society’s adoption of social networks which change how we consume information and make decisions. Peer-powered collaboration puts all players in the enterprise ecosystem in conversation. By learning from and contributing... [more]
  • Expedient Self-Service: Expectations and Instant Gratification in a Sharing Economy

    Thursday, April 14, 2016 - 10:30
    Citizen data scientists want it all, and they want it now. Analytics teams need to build the infrastructure to support this. [more]
  • Pounded by Paula at Strata + Hadoop World

    Thursday, April 7, 2016 - 08:45
    Our #1 session at Strata? Paula Poundstone's tech takedown and rip on the Data Science crowd. Read on. [more]
  • Web-Scraping for Data Science – Part 1

    Wednesday, April 6, 2016 - 13:15
    Scraping data from the web is a task that’s essential to the data scientist’s hacking portfolio. The complexity of work ranges from sophisticated crawling that mandates understanding the structure of dynamic web pages along with command of css and/or xpath, to the more mundane “just grabbing a table of static data”. I’m into both, loving libraries like beautifulsoup for serious python crawling, but at the same time demanding simple tools for quick and dirty work... [more]
  • Inquidia Reflex: Standards and Best Practices for Pentaho Data Integration

    Wednesday, April 6, 2016 - 11:15
    Like Pentaho? See what we've built for development standards with our decade of Pentaho Data Integration experience. [more]
  • Computing Power To The People: Citizen Data Scientists Lead the Grassroots Changes in Modern Analytics

    Wednesday, April 6, 2016 - 07:00
    What's behind the invigoration of the citizen data scientist and modern grassroots analytics? Read on! [more]
  • Lessons From Strata Tuesday

    Wednesday, March 30, 2016 - 08:15
    This year I decided to do an all-day, hands-on session tutorial Tuesday, the choices a tough call between PyData and R. [more]

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