TejaswiniAuthor

December 10, 2020 - Knowing Your Model Performance, Simplified with Oracle OAC Machine Learning

Tejaswini

Introduction: In our previous blog, we were able to gain deeper insights into our data through exploratory data analysis and as a supplement we were also able to create a Data Visualization project with graphs generated from the Explain feature. In this blog, we will create a model using one of the machine learning algorithms and apply it to the test data to predict customers that are likely to open Term deposits.

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TejaswiniAuthor

December 9, 2020 - Gaining Deeper Insights of Data with Oracle OAC Machine Learning

Tejaswini

Introduction: In our previous blog, OAC Machine Learning we learned about identifying, loading and preparing data using two different data sources in order to achieve the objective of our model. After loading the data, we also looked into the data enrichment feature called “Recommendations” which is data cleaning efficient. In this blog we will gain deeper insights into our data through exploratory data analysis and as a supplement we will create a Data Visualization project with graphs generated from the Explain feature. Later in the third blog we will create a model using one of the machine learning algorithms and apply it to the test data to predict the customers that are likely to open Term deposits.

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Ritesh MishraAuthor

October 14, 2020 - Snowflake: The Modern Cloud Data Platform

Ritesh Mishra

Conventional Data Platforms and Big Data Solutions

Having good working experience as an Oracle Datawarehouse professional, I have seen the many challenges that regular customers face with traditional Datawarehouse solutions like degraded query performance, scaling CPU or memory, spinning off another instance, etc. For many of these activities, you might have to involve a DBA and/or Infrastructure team and would also require downtime of your Datawarehouse as well as the activity being planned over the weekend(s). Along with this, many of these solutions do not support semi-structured data, which led the industry to move towards Big Data solutions, having their own set of overhead and need of skilled people. With most of the customers adopting Cloud solutions, there is a push for a fresh approach towards futuristic Cloud based Datawarehouse solutions that include several critical features, like scaling, ease of administration, low TCO, better performance, etc.

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TejaswiniAuthor

October 8, 2020 - Data Preparation with Oracle OAC Machine Learning

Tejaswini

Introduction: Financial institutions want to predict customers that are likely to open Term deposits after a marketing campaign which in turn will help the marketing team with contacting the desired customers.

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Adib KhartabilAuthor

September 8, 2020 - Think of EPM as a Service, Not a Product

Adib Khartabil

Whether you think of EPM as a service or product says a lot about whether you want to drive change or let change drive you, and also whether you’ll accept less than the best.

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Adib KhartabilAuthor

September 1, 2020 - Use EPM to Enrich Qualitative Commentary

Adib Khartabil

Quantitative data like revenue and costs say a lot about how a business is performing, but maybe not so much about why. For that you also need qualitative commentary.

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