Pipedrive creates a visual sales pipeline that allows businesses to better manage each stage of their deals. Additionally, Pipedrive provides detailed analytics that show how many deals are won and lost, what stages they are lost at, and how individual agents are performing based on various metrics.
About Amazon Kinesis
Amazon Kinesis is a powerful analytics solution that overcomes the batch-processing challenges of Hadoop — and similar solutions — which don't allow real-time precision in decision-making because they can't rapidly process high volumes of streaming data. With its ability to process hundreds of terabytes of streaming data per hour, Kinesis allows you to develop apps that rely on real-time data to fuel AI analytics, machine learning insights, and other applications. Kineses enables instant responses by eliminating the delay associated with batch processing.
Popular Use Cases
Bring all your Pipedrive data to Amazon Redshift
Load your Pipedrive data to Google BigQuery
ETL all your Pipedrive data to Snowflake
Move your Pipedrive data to MySQL
Bring all your Amazon Kinesis data to Amazon Redshift
Load your Amazon Kinesis data to Google BigQuery
ETL all your Amazon Kinesis data to Snowflake
Move your Amazon Kinesis data to MySQL
Pipedrive's End Points
Retrieve information - like deal ID, associated users, estimated timeline and expected revenue - about any deals that your company has engaged in. This will allow you to better gauge the profitability of individual deals or track deal trends throughout your sales history.
Add, track, or modify contacts that have begun their journey through your sales pipeline. You can see what deals are attached to a person, what organizations they belong to, and what activities are scheduled for that person. This information can help you decide the best course of action for moving that person along your sales pipeline and winning the deals you have with them.
Track products that your company is selling - by product name, price, or product code - or associate products with specific deals in your pipeline. This will give you a more detailed view of the revenue generated by specific products, allowing you to better prioritize them in your sales pipeline.
Fetch data about an activity that is scheduled in your pipeline. This could include things like the activity’s type, due date, and status, along with associated deals, contacts, and organizations. Then, use that data to track the progress and effectiveness of various activities that are being performed to help you win deals.
Get data about an organization that has deals in your pipeline, including the organization’s ID, associated persons, and related deals. This will allow you to track which organizations are delivering the most profitable deals and the best leads.
Amazon Kinesis's End Points
Amazon Kinesis Video Streams
Amazon Kineses Video Streams allow you to safely ingest streaming video data from millions of linked devices into AWS for machine learning, analytical, and other processing purposes. The platform then encrypts, stores, and indexes the video data so you can access video with simple APIs, play live video streams, and offer on-demand playback. When incorporating this technology with Amazon Rekognition Video, TensorFlow, ApacheMxNet, and OpenCV, Amazon Kineses Video Streams makes it possible to build video analytics and computer vision processes into your applications.
Amazon Kinesis Data Streams
By capturing, processing, and storing data streams, Amazon Kinesis offers a real-time data streaming solution to ingest large amounts of information from hundreds of thousands — even millions — of sources at the gigabytes-per-second scale. The massive scalability of this solution lets you capture and produce immediate analytics on data pertaining to financial transactions, database event streams, location tracking data, clickstreams, social media activity, and more. Since the availability of streaming data happens in milliseconds, the platform enables real-time analytics of this information for instant detection of anomalies, dynamic price adjustments, precise dashboard metrics, and more.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose provides a simple and durable way to pull your streaming data into data warehouses, data lakes, and analytics solutions. Due to its compatibility with Splunk, Amazon Redshift, Amazon S3, and Amazon Elasticsearch Service, Kinesis Data Firehose empowers real-time data analytics for the dashboarding and BI tools you've come to trust. Fully managed and automatically scaling, you can use Firehose to encrypt, batch, transform, and compress your information before ingestion to boost security and save on disk space.
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics helps users without programming knowledge to analyze data streams with SQL or Java. For team members who know SQL, an SQL editor and templates are available for creating streaming applications or querying streaming data. Meanwhile, those with Java knowledge can develop more nuanced streaming applications that perform real-time data transformations and analytical processes.