Pega Customer Decision Hub optimizes customer lifetime value by providing an “always-on brain” to unify data, analytics, and channels into one connected experience. Customer Decision Hub collects data from every interaction as it’s taking place, combines that with the customer’s full interaction history to determine their current context, and then delivers nextbest-action recommendations. Pega aims to enable users to pivot between selling, serving, retaining, and nurturing in real time.
$97
Per User Per Month
Teradata Vantage
Score 8.4 out of 10
N/A
Teradata Vantage is presented as a modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Supports hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of business.
Users can deploy Vantage on public clouds (such as AWS, Azure, and GCP), hybrid multi-cloud environments, on-premises with Teradata IntelliFlex, or on commodity hardware with VMware.
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.
Teradata Vantage is well suited for large scale ETL pipelines like the ones we developed for anti money laundering risk matrices. It handles heavy joins, aggregations, and transformations on transactional data efficiently. We generate alert variables, adjust for inflation, and monitor establishments monthly with it, all integrated with Python and Control-M for a centralised automation across the company. For less appropriate, I would say that heavy resource demands might slow down experimentation for iterative work.
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.
Teradata is an excellent option but only for a massive amount of data warehousing or analysis. If your data is not that big then it could be a misfit for your company and cost you a lot. The cost associated is quite extensive as compared to some other alternative RDBMS systems available in the market.
Migration of data from Teradata to some other RDBMS systems is quite painful as the transition is not that smooth and you need to follow many steps and even if one of them fails. You need to start from the beginning almost.
Last but not least the UI is pretty outdated and needs a revamp. Though it is simple, it needs to be presented in a much better way and more advanced options need to bee presented on the front page itself.
Teradata is a mature RDBMS system that expands its functionality towards the current cloud capabilities like object storage and flexible compute scale.
Teradata Vantage allows us to create a scalable infrastructure to support our strategic initiatives. The dedicated compute power ensures reliable performance with isolated workloads and dedicated resources, optimizing workflows for faster, more efficient data transfers. The compute clusters support ETL processes and OSF’s developers and data science team with the flexibility to create self-service analytics, to spin up/down at any time, driving better performance and minimizing costs.
We have meetings at the beginning with the technical team to explain our requirements to them and they were really putting in a lot of effort to come up with a solution which will address all our needs. They implemented the software and also trained a few of our resources on the same too. We can get in touch with them now as well whenever we run into a roadblock but it's very less now.
Teradata is way ahead of its competitor because of its unique features of ensuring data privacy and data never gets corrupted even in worst case scenario. In most cases, the data corruption is a major issue if left unused and it leads to important data being wiped off which in ideal case should be stored for 3 years
Moving to Teradata in the Cloud-enabled a level of agility that previously didn't exist in the organization. It also enabled a level of analytic competency that was not achievable using other options on the aggressive timeline that was required. We didn't want to settle for reinventing a wheel when we had a super tuned performance capable beast readily available in Teradata. Teradata lets us focus on our business rather than spending money and effort trying to design software or database foundations features on an open source or lower performance platform.
