Event-based data can be captured seamlessly from our data layers (and exported to Google BigQuery). When events like page-views, clicks, add-to-cart are tracked, Google BigQuery can help efficiently with running queries to observe patterns in user behaviour. That intermediate step of trying to "untangle" event data is resolved by Google BigQuery. A scenario where it could possibly be less appropriate is when analysing "granular" details (like small changes to a database happening very frequently).
We can recommend this software without hesitation, as it has the ability to generate reports and data analysis, as well as process the data automatically, which saves time. It is ideal for small and medium-sized companies that wish to improve their services in the business world
GSheet data can be linked to a BigQuery table and the data in that sheet is ingested in realtime into BigQuery. It's a live 'sync' which means it supports insertions, deletions, and alterations. The only limitation here is the schema'; this remains static once the table is created.
Seamless integration with other GCP products.
A simple pipeline might look like this:-
GForms -> GSheets -> BigQuery -> Looker
It all links up really well and with ease.
One instance holds many projects.
Separating data into datamarts or datameshes is really easy in BigQuery, since one BigQuery instance can hold multiple projects; which are isolated collections of datasets.
Yellowfin’s Storyboard, Timeline and Collaborative tools make it easy to share data and insights across an organisation.
Strong Operational and Executive Dashboards that reflect the business KPIs and can send out prompts to people within the business based on rules.
Yellowfin makes it incredibly easy to create dynamic reports and dashboards which incorporate maps through locational intelligence functionality.
Yellowfin is a single license and all access is via a web browser making it perfect for both on-premise and cloud deployment. Mobile apps are also available.
User roles and source filtering allows Admin/IT to offer different functions/views by user group/role.
Mobile BI applications to support any device ..
API connectors ( YF 7.2 on the way in Mar16 ) for a range of third-party Web-based applications, data sources, Enterprises CRM/ERP apps & open data platform apps, including Salesforce, Google Analytics, Twitter, Youtube , Zoho CRM, XE.com & more coming to make endusers to integrate their applications for better benefits
Yellowfin Integration with Predictive analytical and Big Data processing tools like R, UDF, Spark to build rich applications for end users
Please expand the availability of documentation, tutorials, and community forums to provide developers with comprehensive support and guidance on using Google BigQuery effectively for their projects.
If possible, simplify the pricing model and provide clearer cost breakdowns to help users understand and plan for expenses when using Google BigQuery. Also, some cost reduction is welcome.
It still misses the process of importing data into Google BigQuery. Probably, by improving compatibility with different data formats and sources and reducing the complexity of data ingestion workflows, it can be made to work.
The ability to predefine a colour for a specific graph as a selection option dynamically.
The ability to customise the label of a chart, especially with respect to performance related reporting graphs we need an increase in dynamic charting options to meet our more specialised requirements.
We have to use this product as its a 3rd party supplier choice to utilise this product for their data side backend so will not be likely we will move away from this product in the future unless the 3rd party supplier decides to change data vendors.
I think overall it is easy to use. I haven't done anything from the development side but an more of an end user of reporting tables built in Google BigQuery. I connect data visualization tools like Tableau or Power BI to the BigQuery reporting tables to analyze trends and create complex dashboards.
As mentioned previously, if a newer company is looking for a strong, polished BI tool, Yellowfin would be a great software vendor to consider. Unfortunately, the high cost might be a barrier to these newer companies who dont have any legacy software/agreements such as an EA agreement with Microsoft.
I have never had any significant issues with Google Big Query. It always seems to be up and running properly when I need it. I cannot recall any times where I received any kind of application errors or unplanned outages. If there were any they were resolved quickly by my IT team so I didn't notice them.
I think Google Big Query's performance is in the acceptable range. Sometimes larger datasets are somewhat sluggish to load but for most of our applications it performs at a reasonable speed. We do have some reports that include a lot of complex calculations and others that run on granular store level data that so sometimes take a bit longer to load which can be frustrating.
BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
They have good support in what they provide. But what they provide is not what is promised. I would stay with them if I can. Be very careful before signing up with them. They are not what they seem in the sales pitches. Be very careful and make sure you test and test before you sign up.
PowerBI can connect to GA4 for example but the data processing is more complicated and it takes longer to create dashboards. Azure is great once the data import has been configured but it's not an easy task for small businesses as it is with BigQuery.
Yellow Fin platform is browser agnostic and is accessible from desktops as well as mobile devices. It is very simple and fast, it is integrated with Big Data, clients do not require a great training. It just works. But it’s easier to have things on the cloud, especially if you need to use different computers. Yellow Fin lacks the cloud feature.
We have continued to expand out use of Google Big Query over the years. I'd say its flexibility and scalability is actually quite good. It also integrates well with other tools like Tableau and Power BI. It has served the needs of multiple data sources across multiple departments within my company.
Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
Previously, running complex queries on our on-premise data warehouse could take hours. Google BigQuery processes the same queries in minutes. We estimate it saves our team at least 25% of their time.
We can target our marketing campaigns very easily and understand our customer behaviour. It lets us personalize marketing campaigns and product recommendations and experience at least a 20% improvement in overall campaign performance.
Now, we only pay for the resources we use. Saved $1 million annually on data infrastructure and data storage costs compared to our previous solution.
