Data analytics trends, latest news, upcoming workshops, and more
This article is by Heather Harris and originally appeared on the Alteryx Nation Blog here: https://community.alteryx.com/t5/Alter-Nation-Blog/Use-Your-Alteryx-Badassery-to-Grow-Your-Career-and-Brand/ba-p/505382
When we searched for job postings worldwide that mention “Alteryx” in the job posting.
This article is by James Lawson and originally appeared on the DataRobot Blog here: https://blog.datarobot.com/ai-experience-roadshow-europe-2019-highlights-from-stockholm-paris-and-madrid
Following the success of AI Experience London earlier in the year and in response to customer demand, we decided to extend the roadshow to other European cities.
This article is by Carole Gunst and originally appeared on the Qlik Blog here: https://blog.qlik.com/save-the-children-moves-real-time-data-to-azure-data-lake-with-attunity
When the IT Business Solutions Group at Save the Children need to move their data from disparate CRM and ERP systems to Azure Data Lake Storage (ADLS), they used Attunity solutions.
This article is by Timothy Lam and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Expand-Your-Predictive-Palette-III-I-Sales-Forecast-with-Prophet/ba-p/504651
At a high-level, forecasting techniques can be broken down into three main categories:
Historical Average with Sliding Windows
Examples: Seasonal Decomposition, Exponential Smoothing (ETS)
Pros: Simplicity: any tool can integrate like Excel & Tableau;
Cons: Laggardly reaction to changes & overly responsive with outliers, only works with simple structure
Linear Models
Examples: ARIMA, VAR(Good for multiple time series)
Pros: Works with consistent variation, such as established seasonality trends
Cons: Proper assumption on stationarity and homoscedasticity (statistics term for consistent variance/error). Careful predictor selection to prevent multicollinearity (statistics term when predictors are linearly correlated).
Non-Linear Models
Examples: Prophet, GARCH (generalized autoregressive conditional heteroskedasticity), Deep Learning
Pros: Discovering non-linear relationship & data drift in your data.
This article is by Gareth Goh and originally appeared on the DataRobot Blog here: https://blog.datarobot.com/ai-experience-london-sky-uk
If you missed out on AI Experience London 2019 this year, we had an impressive lineup of customer speakers discussing their unique AI use cases.
This article is by Ian Wi and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Observations-on-the-Citizen-Data-Scientist/ba-p/472029
Citizen Data Scientist is currently a very popular term in the analytics community.
This article is by Kevin Hanegan and originally appeared on the Qlik Blog here: https://blog.qlik.com/essential-steps-to-making-better-data-informed-decisions
Data-Informed Decision Making is the ability to transform information into actionable and verified knowledge to ultimately make decisions.
This article is by Colin Priest and originally appeared on the DataRobot Blog here: https://blog.datarobot.com/data-science-fails-theres-no-such-thing-as-a-free-lunch
When I was young, I took a packed lunch to school every day, and since I grew up in Australia, my packed lunch would include a couple of Vegemite sandwiches.
This article is by Olivia Duane Adams and originally appeared on the Alteryx Analytics Blog here: https://community.alteryx.com/t5/Analytics-Blog/Analytics-as-an-Equalizer-Creating-a-We-Culture/ba-p/471071
Everything starts with a story. There was a time, not too long ago, when it was incredibly rare to see women pursue careers in science and technology and while we still see women underrepresented in these areas, women are taking a stronger foothold in mathematics and analytics.
This article is by Christopher Russell and originally appeared on the Alteryx Analytics Blog here: https://community.alteryx.com/t5/Analytics-Blog/2019-4-You-Vision/ba-p/491388
See 20/20 with our 2019.4 release as we take off into the new year and begin solving your biggest business questions with better vision.