There are many types of scenarios in which data science could help your business. For example, customer retention, process automation, improving operational efficiency or user experience.
It is not however always initially clear which questions to concentrate on, or how to achieve your aims.
This post presents information about the type of questions you could address using your data and common forms of bias that may be encountered.
Types of Question
This is the second part of series of blog posts on 'How the EU GDPR will affect the use of Machine Learning'
I have the data, so I can use it? Right?
I can do what I want with that data? Right? (sure the customer won't know!)
NO. The answer is No you cannot use the data unless you have been given the permission to use it for a particular task.
The (more...)
I recently detailed data load possibilities with the tools provided with Essbase under OAC here. Whilst all very usable, my thoughts turned to systems that I have worked on and how the loads currently work, which led to how you might perform incremental and / or automated loads for OAC Essbase.
A few background points:
- The OAC front end and EssCS command line tools contain a ‘clear’ option for data, but both are full data (more...)
After my initial quick pass through Essbase under OAC here, this post looks at the data loading options available in more detail. I used the provided sample database ASOSamp.Basic, which first had to be created, as a working example.
Creating ASOSamp
Under the time-honoured on-prem install of Essbase, the sample applications were available as an install option – supplied data has to be loaded separately, but the applications / cubes themselves are (more...)
On 5 December 2015, the European Parliament, the Council and the Commission reached agreement on the new data protection rules, establishing a modern and harmonised data protection framework across the EU. Then on 14th April 2016 the Regulations and Directives were adopted by the European Parliament.
The EU GDPR comes into effect on the 25th May, 2018.
Are you ready ?
The EU GDPR will affect every country around the World. As long as you capture (more...)
What is our Insights Lab?
The Insights Lab offers on-demand access to an experienced data science team, using a mature methodology to deliver one-off analyses and production-ready predictive models.
Our Data Science team includes physicists, mathematicians, industry veterans and data engineers ready to help you take analytics to the next level while providing expert guidance in the process.
Why use it?
Data is cheaper to collect and easier to store than ever before. But collecting (more...)
Recently, I watched an amazing keynote presentation from Amanda Cox at OpenVis. Toward the beginning of the presentation, Amanda explained that people tend to feel and interpret things differently. She went on to say that, “There’s this gap between what you say or what you think you’re saying, and what people hear.”
While I found her entire presentation extremely interesting, that statement in particular really made me think. When I view a visualization or (more...)
I wrote a blog post a while ago describing the catalog validation: an automated process performing a consistency check of the catalog and reporting or deleting the inconsistent artifacts.
In the post I stated that catalog validation should be implemented regularly as part of the cleanup routines and provides precious additional information during the pre and post upgrade phases.
However some time later I noted Oracle's support Doc ID 2199938.1 stating that the startup (more...)
The following outlines the steps I've followed to get get Scala and Apache Spark installed on my Mac. This allows me to play with Apache Spark on my laptop (single node) before deploying my code to a multi-node cluster.
1. Install Homebrew
Homebrew seems to be the standard for installing anything on a Mac. To install
Homebrew run
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
When prompted enter your system/OS password to allow the install (more...)
Today, I asked Oracle to move me from Oracle ACE Director status to Oracle ACE Alumni status. There are a number of reasons why I decided to change status. When I started answering questions on internet forums
years ago, I did it to share what I had learned in order to help others. The same goes for this blog which I originally started so that I could give better and more complete answers to questions
(more...)
Here are some of the slides from our meetup on 11th May 2017.
The remaining slides will be added when they are available.
The next OUG Ireland Meetup is happening on 11th May, in the Bank of Ireland Grand Canal Dock. This is a free event and is open to every one. You don't have to be a member to attend.
Following on from a very successful 2 day OUG Ireland Conference with over 250 attendees, we have organised our next meetup. This was mentioned during the opening session of the conference.
We typically have 2 presentations (more...)
A couple of days ago it was announced that several Oracle images were available on the Docker Store.
This is by far the easiest Oracle Database install I have every done !
You simply have no excuse now for not installing and using an Oracle Database. Just go and do it now!
The following steps outlines what I did you get an Oracle 12.1c Database.
1. Download and Install Docker
There isn't much to say (more...)
Now that the Oracle Analytics Cloud, or "OAC", has been released, we had to get serious about our work with one of the Oracle Analytics Cloud components, the Essbase Cloud Service, or "EssCS" for short. You would think that we
should have been working hard on EssCS for quite some time, but we had been assured by Oracle product management that the Essbase Java API would be available in EssCS. Of course, Dodeca was built
(more...)
A new feature for Oracle Data Mining in Oracle 12.2 is the new Model Details views.
In Oracle 11.2.0.3 and up to Oracle 12.1 you needed to use a range of PL/SQL functions (in DBMS_DATA_MINING package) to inspect the details of a data mining/machine learning model using SQL.
Check out these previous blog posts for some examples of how to use and extract model details in Oracle 12.1 and (more...)
We had a requirement where the user wanted to be able to get into the tool and change his formula and also wanted the change to be reflected across all his reports. Changing the formula in each report was a lot of effort and hence not practical.
This blog talks about a 6 possible
(more...)
With so many algorithms around its always a struggle to find out which algorithm could be suitable for the problem statement, I want to solve. Microsoft has done an amazing job to start with. Please find attached Machine Learning Algorithm Cheat Sheet .
Hope This Helps
Sunil S Ranka
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