Everything You Wanted to Know about DataOps - PowerPoint PPT Presentation

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Everything You Wanted to Know about DataOps

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In simple words, DataOps is all about aligning the way you manage your data with the objectives you have for that data. Let’s know in detail what actually DataOps is! – PowerPoint PPT presentation

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Title: Everything You Wanted to Know about DataOps


1
Everything You Wanted to Know about
DataOps
2
  • Data operations is a cutting-edge agile
    operations methodology that assists both IT and
    big data professionals.
  • The primary objective of it is to cultivate data
    management practices and processes that enhance
    the speed and precision of analytics. This
    encompasses quality control, integration,
    automation, data access, and model deployment
    management.
  • In simple words, DataOps is all about aligning
    the way you manage your data with the objectives
    you have for that data.
  • For example, if you wish to reduce the customer
    churn rate, it is essential to leverage your
    customer data to develop a recommendation engine
    that produces products that are according to the
    requirements of the customers.
  • This would make them engaged in the buying
    process for a pretty long time. However, this is
    only possible if your data science team has
    access to the data they require to build that
    system.

3
  • They should also have the requisite tools to
    deploy it, integrate it with your website,
    continuously feed it with new data, monitor
    performance, etc. These are all ongoing processes
    that will require inputs from your engineering,
    IT and business teams.
  • DataOps is beneficial to everyone. With the help
    of better data management, it is possible to
    gather more and more data.
  • More and more data results in better
    scrutinisation, which ultimately leads to better
    insights, business strategies and higher
    profitability.
  • It fosters collaboration between data scientists,
    engineers and technologists in such a way that
    every team works in unison to leverage data more
    efficiently and at quick turnaround time.
  • It has been observed that organisations that are
    good at the prompt and thoughtful approach to
    data science are four times more likely than
    their less data-driven counterparts to observe
    growth that exceeds the expectations of their
    shareholders.

4
  • Hence, in present times, we see companies across
    the board, making data management alterations
    that support more receptiveness and innovation.
    Companies like Netflix, Facebook, Stitch Fix, and
    others have already tried approaches that fall
    under this umbrella.
  • Now, lets look at the process of implementing
    it.
  • Democratise Your Data
  • It has been observed that a lack of data access
    can create a significant roadblock towards
    innovation. Therefore, you need to have
    self-service data access and the infrastructure
    to support it. Any company that strives to be
    innovative needs datasets to be available at all
    times.
  • Leverage Platforms Open Source Tools
  • To become agile, it is imperative not to waste
    time building things that your team is already
    aware of like open-source tools. Contemplate
    carefully about your data needs and then create
    your tech stack accordingly.

5
Automate This is the part of the DevOps world
wherein to achieve a quicker time to value on
data-intensive projects it becomes essential to
automate steps that typically require unnecessary
manual work like data analytics pipeline
monitoring and quality assurance testing. You
can even enable self-sufficiency with
microservices. A prime example is, by giving your
data scientists the acumen of deploying models as
APIs means engineers can integrate that code
where required without refactoring, which results
in productivity enhancements. Careful
Scrutinisation It is no surprise to see more and
more organisations adopting the centre of
excellence approach when it comes to data science
management. Here, the blueprint of success is
measured as per the tools, processes,
infrastructure, priorities and key performance
indicators.
6
Smash Silos Collaboration is the key to executing
DataOps flawlessly. The tools and platforms you
utilise in the journey need to support the
broader objective of bringing the teams together
to use data more effectively.
7
Contact Us
  • Company Name Enov8
  • Contact Person Ashley Hosking
  • Address Level 5, 14 Martin Place, Sydney, 2000,
    New South Wales,
  • Australia
  • Email enov8australia_at_gmail.com
  • Phone(s) 61 2 8916 6391
  • Fax 61 2 9437 4214
  • Website - https//www.enov8.com

8
Thank You
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