Neilsen Marketing Cloud includes a Data Management Platform (DMP), Media Planning and Optimization, Data as a Service (DaaS), Multitouch Attribution Analytics, Inflight Analytics, and integrations to different digital media channels as well as to content marketing, creative testing, search, email and social media platforms. It's designed to enable marketers to plan, execute, and report on all of their marketing activities from one place.
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SAP HANA Cloud
Score 8.8 out of 10
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SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.
Best suited for scenarios involving detailed analysis of customer data and demographics. Allows for complex investigation of customer and audience details. Less well suited for scenarios involving simultaneous collaboration on analysis. This product is not the best for collaboration and is better suited for individual work and individual forms of analysis.
It is well organized. One can use it for the company's portfolio management. Various tasks can be done for managerial purposes. One can track the material from start to end product: for example, raw material, packing material & consumable material to formulated bulk and formulated drug product. This can help to manage spending as well as finding costing of the product.
I just like the manner it handles the analytical rationalization of giving a standing and updates of the inner and outside beliefs of Marketing analysis.
It facilitates me apprehend clients' desires and offers advice on a way to fulfill their desires.
When I am making plans and instinctually recognise what purchasers are going to purchase, I depend upon their real-time records to validate my assumptions and tell our media buys.
Automatic rewards with the media Connections. The availability of records and the alternatives to make our customer's picks understandable.
Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information.
Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data.
Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions.
More segments need to be created as often as possible
Sometimes it is hard to optimize these segments when the CTR is low - segments make it difficult to pull out zones/sites that are dragging down the CTR because they are so narrowly targeted.
Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
Lack of clarity on licensing is one major challenge
Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4
At this moment we are not focusing on SAP, however would love to in the future. This is primarily because of our limited ability to generate more revenue to fund for SAP partnerships and products. Our initial tryst with SAP Partneredge open ecosystem didn't go as planned and we have shelved that for now. Hope we can revive in the future
In addition to the points described in the previous parts of the review, I believe that as I gain more experience with the product over time, I will be able to better describe my experience with this tool. Meanwhile, I can confirm that the possibilities presented to my organization by the change to SAP HANA, at the moment, have been very important to evolve the analytical and strategic field towards a new path.
One specific example of how the support for SAP HANA Cloud impacted us is in our efforts to troubleshoot and resolve technical issues. Whenever we encountered an issue or had a question, the support team was quick to respond and provided us with clear and actionable guidance. This helped us avoid downtime and keep our analytics operations running smoothly.
Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.
Nielson Cloud helps businesses find, recruit, and create new advertiser client bases, as well as stand out in a crowded public space. Measure linear and digital media metrics across channels aids in giving insights in an efficient manner. Nielson Cloud also assists businesses in maximising ROI by analysing how their marketing and advertising reaches and influences audiences throughout the customer lifecycle.
I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.
We are using it for analytics, statistics control, and for a single pane of glass and reviews for our senior leadership. We fetch significant insights from this device which can be then provided to our stakeholders to higher understand the achievements and loopholes.
We can make Marketing strategies with the help of this. Also, it is benefiting financially and getting productive.