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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Snowflake
Score 9.0 out of 10
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The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.
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.
I am over our HR data, and we use Workday for our HR management system. I have a script in place that runs reports on Workday and saves the results as CSVs. I can then use stages in Snowflake to insert these CSVs into Snowflake, then I can insert or truncate and replace these staged tables into a final schema. Then once these are in a schema I can reference them and build out my data models. In addition to ingesting CSVs, Snowflake has the ability to write a CSV file to our Amazon S3 bucket. Ingesting these CSVs, transforming the data, then delivering it to a destination would've involved so much more coding than my current process if we were on any other platform.
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.
Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
Snowflake manages concurrency better in our trials than other premium competitors
Snowflake has little to no setup and ramp up time
Snowflake offers online training for various employee types
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.
This tool is very much technical and proper knowledge is required, so mostly you have to hire an IT team.
I wish if various videos could be available for basic quires like its initiation, then I think it would act as a guideline and would help the beginners a lot.
SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to
The interface is similar to other SQL query systems I've used and is fairly easy to use. My only complaint is the syntax issues. Another thing is that the error messages are not always the easiest thing to understand, especially when you incorporate temp tables. Some of that is to be expected with any new database.
We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.
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 had the experience of using one more database management system at my previous workplace. What Snowflake provides is better user-friendly consoles, suggestions while writing a query, ease of access to connect to various BI platforms to analyze, [and a] more robust system to store a large amount of data. All these functionalities give the better edge to Snowflake.
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.
Positive impact: we use Snowflake to track our subscription and payment charges, which we use for internal and investor reporting
Positive impact: 3 times faster query speed compared to Treasure Data means that answers to stakeholders can be delivered quicker by analysts
Positive impact: recommender systems now source their data from Snowflake rather than Spark clusters, improving development speed, and no longer require maintainence of Spark clusters.
