Integrate AskNicely with Amazon Kinesis
AskNicely is a survey tool that allows users to collect and act on real-time customer feedback using the net promoter score (NPS) framework. This helps them accurately understand their performance and increase their customer retention, reviews, and referrals.
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 AskNicely data to Amazon Redshift
Load your AskNicely data to Google BigQuery
ETL all your AskNicely data to Snowflake
Move your AskNicely 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
Integrate AskNicely With Amazon Kinesis Today
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AskNicely's End Points
Use simple one-touch surveys to generate valuable customer feedback. Then, use this information to create and track your Net Promoter Score (NPS) based on product, channel, rep, etc. This can help provide customer analytics both within AskNicely and in other data sources.
Utilize the survey information both to better interact with your customers and to empower your team. With the survey results, your whole company can gain an accurate understanding of customer experience and your team can take immediate action to drive retention, upgrades, reviews and referrals.
Use your NPS to track your performance over time and see the impact that your marketing and sales campaigns are actually having on customer intent.
Increase the number of customer responses with AskNicely’s automations and optimizations. Then, integrate this customer feedback with other relevant data sources to get a comprehensive overview of your customers and improve your long-term business strategies.
View important metrics for your account like your NPS and the percentage of your respondents that had positive or negative survey responses. This provides a broader view of your survey performance that can help you determine your overall business performance.
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.