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Data Strategy/Data Science tools
This survey will help you audit your current data strategy to find weakness and and opportunity .Based on this survey Accel would like to help in overcoming the the weakness and set up the clear goal for data drive norganization
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Name of the person taking survey along with company name
*
Your answer
Do you track user's activity on your website,app using tools such as GA, Mixpanel ,heap etc
*
Yes, we track basic analytics
No,we dont
We have in-house tool to track user activities
Are you tracking explicitly defines user events or pageviews
Yes we track both
No, we only track page views
Clear selection
Are you able to view users's event history or aggregate metrics
Yes we can view individual event histories
No, we cannot
Clear selection
Are you able to track users across devices/websites/Apps
Yes, we can track user across devices
No,
Clear selection
Have to defined key performance indicators(KPIs)
Yes, we have KPIs
No,
Clear selection
Are you able to track your KPIs easily everyday using dashboard or email
Yes using Dashboard like Tableau
No, we cant
Clear selection
Can you quickly add new graphs or metrics to your dashboard using SQL query
Yes and dashboard are customisable with SQL
No,they are not
Clear selection
Can managers and other key decision makers customize their dashboards and other data views?
Yes , our dashboards are personalizable
No. everyone sees the same dashboard
Clear selection
Could someone from BI team query your data using Standard SQL - Data pipeline
Yes , our unified data is query-able
No.
Clear selection
Are all your data stored together in warehouse or in separate location or services
Yes , central store/Unified view of data in a single warehouse
No.our data is scattered across places in different dbs
Clear selection
Do you store all data related to user even if you are not using it today, or data process is loosy
Yes , we store everything
No.we store only what we need today
Clear selection
is your data warehouse built on cloud architecture (AWS,GCP)
Yes , on cloud and scale
No, its on-prem
Clear selection
does your warehousing platform survives for 10X Growth
Yes
No, things can break
Clear selection
Would you be automatically notified if there was a failure in pushing new data to your warehouse?
Yes, we have auto notifications for data pipelines failure
No, we don't have yet
Option 3
Clear selection
what kind of streaming platform you have
Spark
Storm
confluent
other,similar platfoprm
Clear selection
do you have a reliable backup and recovery for your data
Yes, backup regularly
No
Clear selection
Are you using data to learn about users demographics or their experience or similar that predict key-outcomes like purchasing, churning[Machine learning]
Yes, we run analysis on data and find these insights,
no, we don't
Clear selection
Are you any of the machine learning techniques (Logistic Regression,boosted tree etc) in your products or management tools
Yes, we use machine learning tools
no, we don't
Clear selection
Are you predicting user's behaviour or other outcomes with predictive models
Yes, we use live predictive models
no, we don't
Clear selection
Are you running experiments/tailoring user experience after outcomes of these predictive models
Yes, we use personalization
no, we don't
Clear selection
Are you providing personalised recommendations to keep user engaged
Yes, we provide intelligent recommendations
No, we dont
Clear selection
Are you running experiments [experimentation and monitoring] on model exploration
Yes,we run experiemnts
No, we dont
Clear selection
Are you optimising your strategies with experiments --- how often
Yes,we optimising marketing and other stuffs with Experiments
No, we dont
Clear selection
are you using any versions /snapshot mechanism to deploy machine learning models in production
Yes,we using open source tools for this
No, we dont
Clear selection
is it possible to train models larger than what would fit on data scientists’ desktop machines
Yes
no, we have bigger data
Clear selection
Do you have a platform for storing and sharing knowledge from research and experiments?
Yes, we have knowledge sharing platform like jupyter
No
Clear selection
Do you have a way to automatically deploy and monitor ongoing experiments?
Yes, deploying and monitoring platform in place
no, experiment is difficult
Clear selection
How is your analytics team/data science structured? [Team]
We do not have any dedicated resources
We have at least one full time analyst handling our analytics
We have several people taking care of analytics, but they are in different departments (ex. marketing for analysis, IT for tagging)
We've put in place a multidisciplinary team or Center of Excellence with a manager in charge
Clear selection
Do you have in-house data scientist who can do predictive modelling and related stuffs
Yes, we have
no, an member from engineering team does that
no, we use consulting firm to do data science work
no
Clear selection
Do you have someone who "owns" and monitors the health of your data warehouse and data pipeline?
Yes , someone is there for reporting and monitoring
No, we don't have any specialist on data engineering side
Clear selection
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