Integrate Zendesk to Amazon Redshift
Zendesk is a CRM platform focused on creating a better, more personalized service experience for your customers by providing targeted support based on their specific needs. Zendesk can also organize valuable customer data - including user information, customer service history, and support tickets - and store that data in one place for you to access at any time.
Integrate Zendesk to Amazon Redshift
Popular Use Cases
Xplenty can extract any data that you need from Zendesk. Here are some of our most popular use cases:
Store data about all of your users - including customers, support agents, and administrators - and track the interactions that they have using Zendesk. Use this data to address common issues and create a better overall user experience.
Sort your customers into organizations either manually or based on their email address. This can help you better understand your customers’ needs and more accurately assign support team members to them.
Create support tickets from a range of sources, including email, social media, and other customers support interactions. Use these tickets to track customer usage trends, which will guide your support system moving forward.
Monitor group composition, group availability, and the kinds of support queries that specific groups are tackling and use that data to increase the efficiency of your support workflow.
IT Manager, RoyalTech
Xplenty automates pulling together our data, whether on-prem or in the cloud, into a central location. It has allowed us to leverage new analytical tools to understand our business better and to eliminate a lot of manual, time consuming reporting.
Why We Like Amazon Redshift
Redshift’s Massively Parallel Processing (MPP) allows it to run queries more quickly and efficiently than ever before.
Most of the analytic tools that companies use today are SQL, and Redshift is SQL compatible. That means that the platform can leverage your existing tools quickly and efficiently.
The warehouse is incredibly scalable and flexible - allowing you to scale from single 160GB nodes all the way up to 16TB nodes - which means that it’ll handle whatever changes your business may require.
Redshift has no up-front costs, no long-term commitments, and an on-demand pricing structure, making it one of the most cost-effective choices out there.
Xplenty helps us to extract data from different sources, modeling them to our needs and then loading them where we want, scheduling tasks on demand for automation. The abstractions make it easier to work with, even to people with more knowledge on tech. Aside from that, their support is very good, and this makes a big difference for all levels of users and companies.
Why Our Customers Choose Xplenty
We take ownership of your data pipelines. That means that our platform will ensure that your data continues to flow and that your pipelines won’t break - and, if they do break, it’s our problem, not yours. So rest easy knowing that Xplenty has got you covered.
Xplenty offers you full flexibility when it comes to how much control you have over the process of data integration. That means that you choose exactly what data will be delivered, how it’s going to be delivered, and when.
Ease of Use
You don’t have to be tech-savvy to use Xplenty. There’s no code, no engineering and no need to worry about messing up your data delivery.
Data integration used to be the domain of IT, data developers and BI. Xplenty changes all of this, allowing every team within a company - marketing, sales, product, finance, HR, etc. - to use the platform to power their analytics and gain important business insights.
Xplenty and Amazon Redshift
Xplenty's data integration service can read data from and write data to Amazon Redshift securely and easily, allowing users to transform and load data directly from any data store into an Amazon Redshift instance. Xplenty can also be used to offload ETL workload from Redshift, allowing each platform to do what it does best: Xplenty for data integration and data preparation and Amazon Redshift for real-time querying.