Oracle DaaS vs. HG Insights Platform vs. SAP Datasphere

As a small company, there is a bit critical to choose Daas as the plans are high and support is available but not at that much priority. A company that wants to invest in the future can go with that. As every software has it's own pros and cons using the Oracle Daas we can build the best future sales planning and DB integration with our consumers to support worldwide level code.

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If you're trying to find or build prompts for your team to get the data they need to make them go ahead. For example, we use it to find our accounts and prospects who are using voice agents. It was very valuable to get that information. So yeah, definitely you can use that.

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SAP Datasphere is well suited for scalable cloud based data integration scenarios which also opens up the doors for AI driven insights which are much harder to achieve with on-prem data warehouses. Considering the licensing model of SAP Datasphere being based on consumption driven capacity units cost can be a big consideration for organizations with large volumes of data that can be a pre-requisite for data mining and AI use cases. So this can be a bottleneck or not so well adopted scenario for SAP Datasphere.

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• Customer Service
• Transparency
• Connect ability

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• It works great for seeing if the site or app for a company is hosted on AWS.
• Intricately uses a different approach (vs the other tools we use) - which helps confirm from another angle.
• It has a great google chrome plug-in.
• UI/UX is modern and clean.

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• SAP Data Warehouse Cloud offers free trial for 90 days with free 128 GB of storage and 64 GB memory.
• Availability of self-service data modeling and analytics on SAP Data Warehouse Cloud enables users to access and analyze data without getting support from the IT team.
• Without zero coding while collecting, connecting, analyzing and modeling data, it saves us time and operational costs of partnering with external IT support experts.

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• Prices and plans are higher not for mid level companies.
• Not supported to all programming languages.
• Need to go with more detail in user interface.
• Provide more support to customers.

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• integration with SFDC could be better
• Sometime provides back an incorrect/no match when a better is available from an uploaded file, though this is getting slightly better
• A way to gauge how many hits you will get off an intent topic before selecting them so you don't feel like one is going to waste could be useful.

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• Need to have a good understanding of the SAP ecosystem to implement and use it.
• From a cost perspective it can be little bit on the expensive side for enterprises.
• The platform is still new and hence more subjected to bugs. But support for it is always good from the SAP team.

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We are using it to identifying Account that uses Support tool and it has been a huge game changer for our organization as it has helped Sales team when they are prospecting Accounts to target these Accounts with knowledge that gives them the edge to win the deal. Plus using it with clay integration is very helpful for us.

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Datasphere can come with its own challenges which can feel like a mountain to get over. However, once one has an understanding of how the product works it becomes easier to use. Once the time is spent to get it setup and working correctly very little is needed to keep it running smoothly. Its a great tool it just takes time to learn.

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It’s very easy to use, and the team is very responsive and friendly to work with. The information is unique and usable and can complement some of the data we get from call recordings. The integration with Salesforce is easy to implement and offers good insights into our database.

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SAP has suggested that BW 7.5 will be sunset soon. Usability is good in SAP BW Modernization. Instead of going with other non-SAP tools, staying with SAP will be suitable for existing users. Across the board, many of them are moving to DataSphere.

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I would greatly acknowledge the services of Sap Data [warehouse Cloud] because we were struggling before its arrival where we used to get manual data connections and this used to consume a lot of time but after its use, we now are able to connect data easily saving a lot of time and finances.

Better in every way, less modeled and more accurate audience segments

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- Sales Intel seems to be more of a direct competition. Their human research seems to be something interesting. Also the claim to focus on firmographics - We went with Bombora for intent technology in the past - We did not move forward with 6sense

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Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for users, and it is widely up for data quality, data governance, and data discovery.

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Despite the pricing model being expensive for small businesses, it provides decent features and capabilities for organizations of different sizes and it's an appropriate investment in today's business environment where there is constant pressure to build a scalable and flexible analytics service

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Ever since we implemented SAP Data Warehouse Cloud, we have been able to reduce the additional costs of hiring third-party service providers by incorporating professional services offered by the vendor.

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• Costs are increase but production is also increase.
• Need more UI features.
• Better DB integration provide more support to the code.

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• I don't massively get involved in financial matters, but the propensity models we use internally to help run our campaigns are certainly a big factor when our sales people approach our clients.
• Every campaign sold now comes with a flat data fee for us to run and use a propensity model for the activity we complete on behalf of our clients.
• Whilst the client will never see the raw data behind the model (of which HG does play a part along with our other data sources) they are briefed on the methodology and reasoning behind them.

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• Preserving data quality has enhanced governance on data by having a single source that is accessible to every business user via self-service capabilities.
• Operational cost is lowered by connecting data in one integrated solution hence making it easy to access information without having to keeping logging to other applications. Additionally, no external IT support is needed since SAP Data Warehouse Cloud has no-coding modeling tools.
• SAP Data Warehouse Cloud has enabled every business user to understand different data by transforming data to real insights.

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