Sprinkle Data

Accelerate Data and AI adoption for your Enterprise

[Sprinkle Data @SprinkleData]

@TataCLiQ now uses @SprinkleData No-Code analytics platform for Redshift

#Analytics #Ecommerce #SprinkleData

[Sprinkle Data @SprinkleData]

Today's businesses collect a variety of data, such as transactional data, marketing data, and operations data. The collected data have a variety of formats and structures

Let's take a look at the challenges organizations face when integrating data.
#DataScience #Analytics #Data

[Sprinkle Data @SprinkleData]

Sprinkle now supports @freshdesk as a data source, a cloud-based customer service software solution that helps businesses with Omnichannel, Bots, and Self-service functionalities.

https://t.co/BnmmJzxPBg

#dataviz #solution #omnichannel #cloud

[Sprinkle Data @SprinkleData]

In segments, Sprinkle Data now allows "running total" i.e. summation of numbers which is updated every time a new number is added to the sequence.

Here the Running total represented in both "Value" and "Percentage"

https://t.co/ORCrmzLLKf

#data #DataScience #Analytics

[Sprinkle Data @SprinkleData]

Sprinkle now supports Marketo as a data source, one of the best in class marketing automation software, it simplifies the complexities in a buyer’s journey and provides proper measurable insights.

https://t.co/eZDhqG3KTK

#Data #MarketingAutomation #Analytics

[Sprinkle Data @SprinkleData]

Studying the activities of a certain group is called Cohort Analysis and with Sprinkle there are 4 simple steps involved

>Data Collection from different sources
>Data Cleaning and Fact table creation
>Data Modeling
>Cohort Report creation

https://t.co/Zp6n1l7Bgu

[Sprinkle Data @SprinkleData]

A series of events where one leads to another is analyzed and this comes under the term “funnel”, This helps in identifying the online journey of customers when we consider an ecommerce website use case.

https://t.co/z7EMtNpar4

#funnelmarketing #modeling #transformation

[Sprinkle Data @SprinkleData]

Sprinkle Data now enables users to join tables with other models and any join type dimensions can be selected, and multiple conditions can also be applied.

https://t.co/nUUthcznB2

#modeling #dimensions #dataanalytics #datascience #datapipelines

[Sprinkle Data @SprinkleData]

@SprinkleData now supports SAP S4 as a data source, which is an enterprise resource planning system. It consists of built in Business Intelligence and Machine Learning functionalities.

https://t.co/keaJYiaRgM

#datasource #SAP #BusinessIntelligence #MachineLearning

[Sprinkle Data @SprinkleData]

Sprinkle Data now supports Intercom as a data source. Intercom is a customer relationship through conversational, messenger-based experience for users.

https://t.co/tPIE4KgaUr

#dataanalytics #datapipelines #intercom #analytics #bigdata #messenger #crms

[Sprinkle Data @SprinkleData]

Sprinkle now supports filters based on Hierarchy, in a nested fashion where one value depends on the other. This way, the values are filtered naturally which shows just the relevant values.

https://t.co/ZLQh4ixrdF

#analytics #dataanalytics #datapipelines #filters #datascience

[Sprinkle Data @SprinkleData]

Here's an in-depth comparison of #SnowflakeDB and #Redshift the two best data warehouses are differentiated on the basis of Integrations, Security, Pricing, Maintenance and Performance.

https://t.co/13T3l1LxXh

#snowflake #redshift #awscloud #datawarehouse #datawarehousing

[Sprinkle Data @SprinkleData]

#Snowflake , #redshift , #BigQuery, #HIVE and #athena are the best data warehouses and here's a comparison on the basis of Deployment, Data Loading, Querying, Query Performance Scaling and Pricing.

Access the complete blog here https://t.co/UNMC0Q5gPF

Pricing Comparison:

[Sprinkle Data @SprinkleData]

We have sorted and compared the best dashboard and SQL reporting tool that's start-up friendly.

https://t.co/YpiwXoXoRL - Top 5 free or affordable dashboard and SQL reporting tools

#dashboard #SQL #DataScience #DataAnalytics #dataviz

[Sprinkle Data @SprinkleData]

@SprinkleData now flattens any JSON column during ingestion. A JSON column generally consists of unstructured data, Sprinkle performs flattening so that the data turns into a proper structured data.

https://t.co/7yunFSjJHw

#json #columns #structureddata #unstructureddata

[Sprinkle Data @SprinkleData]

Sprinkle Data now supports Google Search Console as a data source, a web service by @Google which enables users to optimize website visibility, measure site’s search traffic, check indexing status and performance.

https://t.co/JKM9b4d3sR

#googlesearchconsole #googlesearch

[Sprinkle Data @SprinkleData]

Sprinkle Data now supports @Facebook Ads as a data source, an advertising platform developed by Facebook. A paid ad system for businesses to connect with users which helps in targeted advertising to the exact target audience.

https://t.co/Weotvh5tDL

#facebookads #Facebook

[Sprinkle Data @SprinkleData]

Sprinkle Data now supports @Shopify as a data source. Shopify is an E-commerce platform that enables users to build their e-commerce sites, drive sales and manage the day-to-day operations.

https://t.co/0ib9ddBhMV

#Shopify #data #ecommerce #Analytics

[Sprinkle Data @SprinkleData]

Sprinkle enables users to build conditional blocks of their own requirements. This enables users to apply “AND/OR” actions between conditional blocks or even within a single conditional block.

https://t.co/KvG6vUf6FG

#datapipelines #dataanalytics #dataandanalytics #dataanalysis

[Sprinkle Data @SprinkleData]

Still not sure about the differences between a data lake and a data warehouse?

We have differentiated both on the basis of structure, approach, architecture, schema and storage.

https://t.co/ZDQT2saurS

#dataarchitecture #datawarehouse #datawarehousing #datalakes