venturebeat.com Open in urlscan Pro
192.0.66.2  Public Scan

Form analysis
3 forms found in the DOM

GET https://venturebeat.com/

<form method="get" action="https://venturebeat.com/" class="Search">
  <input id="search-input" class="Search__input GlobalNav__text" type="text" placeholder="Search" name="s" aria-label="Search" required="">
  <button type="submit" class="Search__submit" aria-label="Search submit button">
    <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
      <g>
        <path fill-rule="evenodd" clip-rule="evenodd"
          d="M14.965 14.255H15.755L20.745 19.255L19.255 20.745L14.255 15.755V14.965L13.985 14.685C12.845 15.665 11.365 16.255 9.755 16.255C6.16504 16.255 3.255 13.345 3.255 9.755C3.255 6.16501 6.16504 3.255 9.755 3.255C13.345 3.255 16.255 6.16501 16.255 9.755C16.255 11.365 15.665 12.845 14.6851 13.985L14.965 14.255ZM5.255 9.755C5.255 12.245 7.26501 14.255 9.755 14.255C12.245 14.255 14.255 12.245 14.255 9.755C14.255 7.26501 12.245 5.255 9.755 5.255C7.26501 5.255 5.255 7.26501 5.255 9.755Z">
        </path>
      </g>
    </svg>
  </button>
</form>

GET https://venturebeat.com/

<form method="get" action="https://venturebeat.com/" class="Search Search--mobile Nav__section--active">
  <input id="mobile-search-input" class="Search__input GlobalNav__text" type="text" placeholder="Search" name="s" aria-label="Search" required="">
  <button type="submit" class="Search__submit">
    <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
      <g>
        <path fill-rule="evenodd" clip-rule="evenodd"
          d="M14.965 14.255H15.755L20.745 19.255L19.255 20.745L14.255 15.755V14.965L13.985 14.685C12.845 15.665 11.365 16.255 9.755 16.255C6.16504 16.255 3.255 13.345 3.255 9.755C3.255 6.16501 6.16504 3.255 9.755 3.255C13.345 3.255 16.255 6.16501 16.255 9.755C16.255 11.365 15.665 12.845 14.6851 13.985L14.965 14.255ZM5.255 9.755C5.255 12.245 7.26501 14.255 9.755 14.255C12.245 14.255 14.255 12.245 14.255 9.755C14.255 7.26501 12.245 5.255 9.755 5.255C7.26501 5.255 5.255 7.26501 5.255 9.755Z">
        </path>
      </g>
    </svg>
  </button>
</form>

<form onsubmit="return false;">
  <ul class="firebaseui-idp-list">
    <li class="firebaseui-list-item"><button class="firebaseui-idp-button mdl-button mdl-js-button mdl-button--raised firebaseui-idp-password firebaseui-id-idp-button" data-provider-id="password" style="background-color:#db4437"
        data-upgraded=",MaterialButton"><span class="firebaseui-idp-icon-wrapper"><img class="firebaseui-idp-icon" alt="" src="https://www.gstatic.com/firebasejs/ui/2.0.0/images/auth/mail.svg"></span><span
          class="firebaseui-idp-text firebaseui-idp-text-long">Sign in with email</span><span class="firebaseui-idp-text firebaseui-idp-text-short">Email</span></button></li>
    <li class="firebaseui-list-item"><button class="firebaseui-idp-button mdl-button mdl-js-button mdl-button--raised firebaseui-idp-google firebaseui-id-idp-button" data-provider-id="google.com" style="background-color:#ffffff"
        data-upgraded=",MaterialButton"><span class="firebaseui-idp-icon-wrapper"><img class="firebaseui-idp-icon" alt="" src="https://www.gstatic.com/firebasejs/ui/2.0.0/images/auth/google.svg"></span><span
          class="firebaseui-idp-text firebaseui-idp-text-long">Sign in with Google</span><span class="firebaseui-idp-text firebaseui-idp-text-short">Google</span></button></li>
  </ul>
</form>

Text Content

Skip to main content
VentureBeat Homepage
 * Events
 * GamesBeat

 * Data Pipeline
 * Transform 2022

 * Account Settings
 * Log Out

 * Become a Member
 * Sign In

VentureBeat Homepage

 * 
 * 

VENTUREBEAT

 * AR/VR
 * Big Data
 * Cloud
 * Commerce
 * DataDecisionMakers
 * Dev
 * Enterprise
 * Entrepreneur
 * Marketing
 * Media
 * Mobile
 * Security
 * Social
 * Transportation

FOLLOW

follow us on Twitter follow us on Facebook follow us on LinkedIn Follow us on
RSS

THE MACHINE

 * AI
 * Machine Learning
 * Computer Vision
 * Natural Language Processing
 * Robotic Process Automation

FOLLOW

Follow us on RSS

GAMESBEAT

 * Games
 * Esports
 * PC Gaming

FOLLOW

follow us on Twitter Follow us on RSS

EVENTS

 * Upcoming
 * Media Partner
 * Webinars

GENERAL

 * Newsletters
 * Got a news tip?
 * Advertise
 * Press Releases
 * Guest Posts
 * Contribute to DataDecisionMakers
 * Deals
 * Data Pipeline
 * Jobs
 * VB Lab
 * About
 * Contact
 * Privacy Policy

×


JOIN THE VENTUREBEAT COMMUNITY


FREE: JOIN THE VENTUREBEAT COMMUNITY FOR ACCESS TO 3 PREMIUM POSTS AND UNLIMITED
VIDEOS PER MONTH.

Learn More


SIGN UP WITH YOUR BUSINESS E-MAIL TO CONTINUE WITH TICKET PURCHASE

Please wait...
 * Sign in with emailEmail
 * Sign in with GoogleGoogle

By continuing, you are indicating that you accept our Terms of Service and
Privacy Policy.



SHARE

 * Share on Facebook
 * Share on Twitter
 * Share on LinkedIn

 * VentureBeat Homepage
 * Social Links
 * Newsletters
 * Events
 * Profile

Community


A DATA-DRIVEN APPROACH TO SCALING YOUR COMPANY

Tim Mironov, Lendai
April 20, 2022 5:10 PM
 * Share on Facebook
 * Share on Twitter
 * Share on LinkedIn

Image Credit: Weiquan Lin/Getty Images

We are excited to bring Transform 2022 back in-person July 19 and virtually July
20 - 28. Join AI and data leaders for insightful talks and exciting networking
opportunities. Register today!

--------------------------------------------------------------------------------



There is no fool-proof plan when it comes to scaling; issues will occur, pivots
may be necessary, and different industries and social dynamics require different
solutions. Only half of startups make it past the first five years, and one out
of every 200 (or 0.5%) become scaleups.

Yet there are also decisions startups can make early on, especially around data,
that can increase their likelihood of scaling and making the journey at least
somewhat more predictable. My advice is to embrace a data-driven scaling
process. I’ve noticed that founders who overlook a data-driven process early on
often fail in the long term. Implementing data-driven processes lets you base
decisions on facts from the beginning and can support pivots that are often
necessary. 

1
/
7
Achieving a data mesh with Starburst and TSYS
Read More

501K
91



Video Player is loading.
Play Video
Unmute

Duration 0:00
/
Current Time 0:00
Playback Speed Settings
1x
Loaded: 0%

0:00

Remaining Time -0:00
 
FullscreenPlayUp Next

This is a modal window.



Beginning of dialog window. Escape will cancel and close the window.

TextColorWhiteBlackRedGreenBlueYellowMagentaCyanTransparencyOpaqueSemi-TransparentBackgroundColorBlackWhiteRedGreenBlueYellowMagentaCyanTransparencyOpaqueSemi-TransparentTransparentWindowColorBlackWhiteRedGreenBlueYellowMagentaCyanTransparencyTransparentSemi-TransparentOpaque
Font Size50%75%100%125%150%175%200%300%400%Text Edge
StyleNoneRaisedDepressedUniformDropshadowFont FamilyProportional
Sans-SerifMonospace Sans-SerifProportional SerifMonospace SerifCasualScriptSmall
Caps
Reset restore all settings to the default valuesDone
Close Modal Dialog

End of dialog window.

Playback Speed

0.25x
0.5x
1x Normal
1.5x
2x
Replay the list
 * Powered by AnyClip
 * Privacy Policy


TOP ARTICLES







Achieving a data mesh with Starburst and TSYS


Here are three tips for future-proofing your startup by embracing data:


1. CONSIDER HIRING A CHIEF DATA SCIENTIST

While data scientists are seasoned professionals, many organizations should
consider hiring a Chief Data Scientist (CDS) early on. Around 92% of firms
report that the pace of their investments in data and AI projects is increasing,
and it’s no wonder, with data-driven firms 23 times more likely to acquire
customers and 19 times more likely to be profitable. Yet the transformation to
becoming a data-driven company requires sound judgments vis-a-vis the right
tools and strategies and ongoing expertise in implementation and maintenance.
Elevating data decisions to the highest level of a company’s decision-making
process early on will most likely prove to be a significant advantage. It
ensures that when data teams need to be built out and overseen, there’s an
expert decision maker at the helm with the ear of the other executives. 

In my company’s field — approving loans for foreign buyers — shortening
underwriting cycles is paramount. We can quickly, simply, and efficiently
underwrite a loan, whereas traditional methods are time consuming, requiring
lots of manual work. Our data-driven process is only possible with dedicated
guidance and the kind of strong field expertise that a CDS can provide.


2.  ALLOW CTOS AND CDSS TO FOCUS ON THEIR RESPECTIVE EXPERTISE

In a data-driven company, the role of the CDS is to bridge the gap between
business managers and data teams, guiding both sides to a mutual understanding
of what can be accomplished with data. The CTO, by contrast, is more focused on
product development and the resources necessary to achieve product-specific
goals. Each role requires a separate, distinct, set of tools, a fact that is
often overlooked. Treating the CDS as a “sidekick” role or putting the data
scientists under the purview of the CTO fosters shortcomings vis-a-vis
data-based decisions and deep AI and ML expertise. Having both roles clearly
defined, however, creates a solid data infrastructure with accessible tools to
extract meaningful insights and business intelligence results. Decoupling the
data and ML pipelines from the customer-facing research and development has
empowered our company to develop a collaborative partnership between the two
departments, which enables the teams to focus their expertise and hone their
strategies, working together rather than in friction with one another. 


3. INVEST IN DATA INFRASTRUCTURE OR PAY FOR IT LATER ON

Having a rockstar CTO and an incredibly savvy Chief Data Scientist is a key
starting point, but the right people and strategy must always be paired with
action. One of the greatest steps companies can take to become scalable is
investing in data infrastructure. In particular, data warehousing is key because
it eliminates the constant back and forth between DevOps and backend engineering
departments by incorporating data from multiple sources into a single source of
truth that is easily extractable. The next investment should be expanding that
accessibility beyond the data team by embracing a data mesh approach and
purchasing software that empowers marketing, customer success, and other groups
to leverage data effectively on their own.

Adopting these three tips may seem easy, but implementation comes with its fair
share of challenges. Entrepreneurs who remain undaunted and work hard to achieve
them will build the foundations for a thriving business well into the future.

Tim Mironov is Chief Data Scientist at Lendai.


DATADECISIONMAKERS

Welcome to the VentureBeat community!

DataDecisionMakers is where experts, including the technical people doing data
work, can share data-related insights and innovation.

If you want to read about cutting-edge ideas and up-to-date information, best
practices, and the future of data and data tech, join us at DataDecisionMakers.

You might even consider contributing an article of your own!

Read More From DataDecisionMakers

Author
Tim Mironov, Lendai

Topics
Business

Data

DataDecisionMakers





TRANSFORM 2022 REGISTRATION IS LIVE

Hear from senior executives at some of the world’s leading enterprises about
their experience with applied Data & AI and the strategies they’ve adopted for
success.

Register Here





TRANSFORM 2022

Join AI and data leaders for insightful talks and exciting networking
opportunities in-person July 19 and virtually July 20-28.

Register Now


JOIN FORCES WITH VENTUREBEAT AT OUR UPCOMING AI & DATA EVENTS

Sponsor VB Events
 * VentureBeat Homepage
 * Follow us on Facebook
 * Follow us on Twitter
 * Follow us on LinkedIn
 * Follow us on RSS

 * VB Lab
 * Newsletters
 * Events
 * Special Issue
 * Product Comparisons
 * Jobs

 * About
 * Contact
 * Careers
 * Privacy Policy
 * Terms of Service
 * Do Not Sell My Personal Information

© 2022 VentureBeat. All rights reserved.

×

We may collect cookies and other personal information from your interaction with
our website. For more information on the categories of personal information we
collect and the purposes we use them for, please view our Notice at Collection.





×