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350 Points
5 Years
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8 months ago
AI has already been used for decades in banking, finance and agriculture.  Credit and loan analysis use a lot of logistic regression to know who to loan money to. Finance uses AI for regression analysis of forecasts and optimum stock portfolios, agriculture to predict…
8 months ago
Tableau is perfect for this and comes with around a hundred native connectors and no extra cost is required.
10 months ago
@Alberto Guisande , all big vendors are placing their products in a higher position.   Therefore, Alteryx is not placed as an ETL tool anymore but an Analytics Platform.  Likewise, Tableau is not a data viz tool but a analytics platform.   That´s a marketing pitch to…
11 months ago
Those are just terms used by marketing. 30 years ago, BI required a pre-aggregated database designed as cubes.  Dimensions and hierarchies were pre-defined and we used to call those cubes data warehouses. An example of this old-school BI is SAP BW. This was required to…
11 months ago
Greetings, Stefan.   Alteryx is basically an ETL tool that evolved to deliver some Data Viz and ML features too.  This means that its main purpose is to extract data from different sources, combine and transform them and finally load them in a different database.Denodo is a…
11 months ago
Tableau will allow you to analyse data from all different data sources combined amongst them and allows you to use cloud or on-premises.  SAP Analytics is more tailored to SAP and it's only for the cloud.
About 1 year ago
The main reason is security and governance.  Most of the time, you are required to perform different actions on the data. Cleansing and adapting it to naming standards is pretty common and this could happen in different steps.Having different schemas helps to prevent…
About 1 year ago
Data science platform is a vague term.   It all depends on what you wish to accomplish. Are you talking about fast databases, ETLs, a Machine Learning tool, integration with R or Python, Self-Service Data Visualization Tool, Collaboration? No size fits all...
About 1 year ago
@Evgeny Belenky, I get it.   Although Google acquired Looker, they also have the "Google Data Studio".   The same thing happened to Tableau who was acquired by Salesforce.   Previously, Salesforce had Einstein Analytics that recently changed its name to Tableau CRM.…
About 1 year ago
Not everybody understands Gartner's Magic Quadrant.  The X axis represents completude of vision and the Y axis represents the ability to deliver what is supposed to. Choices should be made upon your business needs and not Gartner´s opinion.
About 1 year ago
My suggestion is for those who don´t require much coding such as Tableau, Power BI, Cliqsense or Domo. Most of those tools are hosted in the cloud with the exception of Tableau which you may also use on-premises.Power BI and Tableau are the 2 top-rated according to Gartner…
Over 1 year ago
There are 2 types of data integration.  The one you need to use some sorte of ETL to load the adjusted data into another database and the one you use virtualization data tool to adjust the data but keep them in their original places.Costs are totally different and you need…
Over 1 year ago
In theory, BAM is meant for transactional and operational management in a daily basis. Like instruments that collect temperature and pressure to adjust control valves. BAM manages processes within a smaller scope and usually analyses data from one business area And BI is…
Over 1 year ago
About 5 years ago
Tks for sharing your experience in this analysis. By the way, small multiples are pretty easy to do in Tableau as well as sparklines as you can see http://www.juiceanalytics.com/writing/better-know-visualization-small-multiples and…

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11 months ago
BI (Business Intelligence) Tools
About 1 year ago
BI (Business Intelligence) Tools

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About me

22 years experience in large consultancies (17 of those years in management and senior management position) in more than 40 large clients from all market segments. My main expertise:

1) Oracle EBS projects and EBS rollouts to Brazil: Since 1997, when I joined Oracle, I have been managing national and global projects concerning Oracle EBS (implementations, upgrades and rollouts), provided health checks in strategic projects, lead assessments and sales and trainned several project managers in Oracle methodologies (AIM, EMM, PJM, ABF, OUM). I have recently developed a more concise and objective methodology for Oracle EBS called LEAN APPS METHOD (http://www.leanappsmethod.com)

2) PMOs implementations: I designed, implemented and structured PMOs in large, small and medium companies where I defined processes, templates, policies, tools, governance, KPIs, developed a maturity model customized for the clients and lead the organizational change management

3) Process Reengineering, Innovation and Quality Improvement: Using several methods, frameworks and techniques to mapp, evaluate and propose target solution in many areas with main focus in IT, supply chain, logistics, manufaturing and inventory management

4) BPO and service management: I lead a team of 70 more than analysts, 6 project managers and 2 senior managers in the global BPO contract of ABN Anro Bank (Banco Real in Brazil) using SLAs and OLAs under a CMMI and ITIL context