Skip to main content
Mobile
  • Finance, Accounting & Economics
  • Global Business Management
  • Management, Leadership & Organisation
  • Marketing & Sales
  • Strategy
  • Technology & Operations
HS Talks HS Talks
Subjects  
Search
  • Notifications
    Notifications

    No current notifications.

  • User
    Welcome Guest
    You have Limited Access The Business & Management Collection
    Login
    Get Assistance
    Login
    Forgot your password?
    Login via your organisation
    Login via Organisation
    Get Assistance
Finance, Accounting & Economics
Global Business Management
Management, Leadership & Organisation
Marketing & Sales
Strategy
Technology & Operations
Practice paper

Building analytics teams for success

Radhika V. Kulkarni
Applied Marketing Analytics: The Peer-Reviewed Journal, 6 (1), 46-56 (2020)
https://doi.org/10.69554/VDZQ9724

Abstract

Big Data, analytics, Artificial Intelligence, data science: all of these areas have given rise to the need for every industry to invest in building up analytics teams that can address complex business challenges. This paper looks at some aspects that are critical for the composition of successful teams in terms of technical background, skills and experience. It also discusses the challenges companies face in hiring the right individuals for these varied roles and the role educational institutions play in filling this talent gap.

Keywords: analytics excellence; successful analytical groups; analytical skills gap; democratisation of analytics; marketing optimisation; data science; Artificial Intelligence

The full article is available to subscribers to the journal.

Already a subscriber? Login or review other options.

Author's Biography

Radhika V. Kulkarni is experienced in leading various areas of advanced analytics research and development, and is active in operations research, Artificial Intelligence and machine learning. She is an active member of INFORMS and serves on the advisory board of several analytics programmes. Kulkarni is an INFORMS Fellow and WORMS Award winner. She has a master’s in mathematics from IIT, Delhi and a master’s and PhD in operations research from Cornell University.

Citation

Kulkarni, Radhika V. (2020, June 1). Building analytics teams for success. In the Applied Marketing Analytics: The Peer-Reviewed Journal, Volume 6, Issue 1. https://doi.org/10.69554/VDZQ9724.

Options

  • Download PDF
  • Share this page
    Share This Article
    Messaging
    • Outlook
    • Gmail
    • Yahoo!
    • WhatsApp
    Social
    • Facebook
    • X
    • LinkedIn
    • VKontakte
    Permalink
cover image, Applied Marketing Analytics: The Peer-Reviewed Journal
Applied Marketing Analytics: The Peer-Reviewed Journal
Volume 6 / Issue 1
© Henry Stewart
Publications LLP

The Business & Management Collection

  • ISSN: 2059-7177
  • Contact Us
  • Request Free Trial
  • Recommend to Your Librarian
  • Subscription Information
  • Match Content
  • Share This Collection
  • Embed Options
  • View Quick Start Guide
  • Accessibility

Categories

  • Finance, Accounting & Economics
  • Global Business Management
  • Management, Leadership & Organisation
  • Marketing & Sales
  • Strategy
  • Technology & Operations

Librarian Information

  • General Information
  • MARC Records
  • Discovery Services
  • Onsite & Offsite Access
  • Federated (Shibboleth) Access
  • Usage Statistics
  • Promotional Materials
  • Testimonials

About Us

  • About HSTalks
  • Editors
  • Contact Information
  • About the Journals

HSTalks Home

Follow Us On:

HS Talks
  • Site Requirements
  • Copyright & Permissions
  • Terms
  • Privacy
  • Sitemap
© Copyright Henry Stewart Talks Ltd

Personal Account Required

To use this function, you need to be signed in with a personal account.

If you already have a personal account, please login here.

Otherwise you may sign up now for a personal account.

HS Talks

Cookies and Privacy

We use cookies, and similar tools, to improve the way this site functions, to track browsing patterns and enable marketing. For more information read our cookie policy and privacy policy.

Cookie Settings

How Cookies Are Used

Cookies are of the following types:

  • Essential to make the site function.
  • Used to analyse and improve visitor experience.

For more information see our Cookie Policy.

Some types of cookies can be disabled by you but doing so may adversely affect functionality. Please see below:

(always on)

If you block these cookies or set alerts in your browser parts of the website will not work.

Cookies that provide enhanced functionality and personalisation. If not allowed functionality may be impaired.

Cookies that count and track visits and on website activity enabling us to organise the website to optimise the experience of users. They may be blocked without immediate adverse effect.