Oracle Autonomous Data Warehouse vs. Pega Customer Decision Hub

II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.

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PRPC is a BPM and Case management suite from Pega Systems. Pega is a comprehensive suite which offers a unique theme of BPM development in the market. A no-coding approach based on rules with inheritance makes Pega a very powerful product but is very difficult to learn. Even, if we go to Pegasystems for training, we have to work on a project at least for a year to have some confidence. Areas where it requires improvements: 1) One of the first things that client's IT department questions about is proprietary BLOB column in PRPC, for them, it is a disadvantage, but as we all know BLOB is what makes the highly complex data model of any BPM application fit inside to a common schema which eliminates the help of a DBA. 2) Another area of improvement is: when using the wizards to generate rules (such as the connector wizards) you have to be careful about the level of coupling between the work object's data model and the interface's data model. This can also create maintenance issues. 3) The complete Pega suite of products have a long time to develop and deploy and it can be easily done using other low-cost software.

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• Very easy and fast to load data into the Oracle Autonomous Data Warehouse
• Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
• Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
• It is always patched and always available and you can add storage dynamically as you need it.

• Ability to design custom integrated campaigns
• Analytics to provide key insights and ability to tune your campaign accordingly
• Ability to design agent workflows

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• It is very expensive product. But not to mention, there's good reasons why it is expensive.
• The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
• Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.

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• Pega Customer Engagement Suite is ready to use out of the box with several features, but custom development is always needed.
• Although new features can be quickly implemented, they have to go through a screening Business analysis process, QA screening and SCRUM based development.
• Pega eliminates the need for custom code, but there are rare cases where an specific requirement has little to no support from Pega, and implementing custom code can break OOB functionality and make the system unstable.

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Because

• It is really simple to provision and configure.
• Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
• Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.

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Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.

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As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it

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I explained in detail in previous questions.

• Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
• Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
• All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.

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• Cost savings on print marketing and email due to better targeting
• More timely campaigns to reach customers at the right time

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