Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Startups Use Data and Agile for Portfolio Management
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Startups Use Data and Agile for Portfolio Management
Big DataExclusive

Startups Use Data and Agile for Portfolio Management

Smart startups are using big data technology to improve scalability and cost-effectiveness.

Amber Harris
Amber Harris
5 Min Read
big data and agile
Shutterstock Licensed Photo - 2258483719 | mrmohock
SHARE

“Everybody needs data literacy, because data is everywhere. It’s the new currency, it’s the language of the business. We need to be able to speak that.” – Piyanka Jain. Data-driven business management has emerged as an invaluable tool for businesses of all sizes, from startups to large corporations.

Contents
How startups leverage data for agility and competitionDesigning Strategic Portfolio Management that Drives Success

With a powerful suite of analytics tools available today – such as predictive analytics, prescriptive analysis, customer segmentation and lead scoring – organizations now have access to critical information that can equip them with the power to make data-driven decisions quickly and accurately. 

How startups leverage data for agility and competition

Each year, companies that use data grow by more than 30%. That’s hard proof that using data is a winner’s move in business. It gives the power to make decisions fast and right. Think of wanting to find the best tool for your team to work together online – a common challenge today. One can simply look at what other users say about different tools or how often people use each one. This takes us straight towards the right choice without second guessing. A person might favor one choice over another because they feel like it, not because facts support it. But when there is clear information in sight, making fair choices becomes easy. Startups use data to move fast, stay agile, and keep ahead of the competition. 

How do they do this? Simply by turning vast amounts of data into smart business decisions. Consider drug manufacturers for example, where big data acts as their hidden ally. They harness its power to simulate clinical trials which leads to significant cuts in cost and time – from five years down to two. What’s more is that it alleviates patient suffering during these trials. Both patients and manufacturers reap the benefits here. Then there are giants like Netflix, Amazon, Facebook and LinkedIn who all owe part of their success story to big data’s helping hand. Each one extracts relevant information from past consumer behavior allowing them to deliver personalized services or recommendations. Even Google feeds off keystrokes you punch in to predict your next search query- yes, every single one of those amazing features you love so much is enabled by Big Data

More Read

rdp or vpn for cloud businesses
Should Cloud-Based Businesses Use RDPs or VPNs for Remote Access?
Tips for Hiring Data Scientists
Why Data Scientists Should Care About SFX Power Supplies
Scrum Screwed Up
Telstra found guilty of abuses of telecommunications network data

Designing Strategic Portfolio Management that Drives Success

SPM begins by choosing clear-cut objectives for your business. These are the goals that guide the projects you take up. The more value a project adds, the higher its priority. Next comes connecting these objectives with your chosen projects and their outcomes—sharing this strategy company-wide fosters teamwork toward achieving common targets. Using tools like OKR helps provide real-time updates on what works and what doesn’t, thus guiding adjustments where needed to maximize results. The next step is to set up robust governance — think of it as drawing clear lines on a playground where everyone knows the rules and their roles. It’s not scary; it just ensures all team players know what they should do when handling work and goals.

Then comes value creation: this phase prioritizes projects that yield high returns. Imagine betting on horses — you’d want to invest in the swift one rather than one with minimal chance of winning. Finally, a key aspect affecting successful SPM strategy execution is continuous evaluation and improvement. Think of it like cleaning out an old closet – Only those items adding significant value remain while everything else should be discarded or improved upon. By embracing Strategic Portfolio Management, companies can assess their performance against the set targets more systematically. They spot profitable opportunities precisely using quality data insights, propelling them closer to exceptional growth and achievements.

As technology becomes further integrated into our lives, enabling businesses to operate more efficiently is increasingly important. Dаtа-ԁriven business mаnаgement is the key for making strategic portfolio choices that will drive success in any industry or sector. By empowering companies with analytic insights thаt leverаge big ԁаtа across all teams—from marketing operations down through product engineering—organizations can gain a competitive edge by understanding their audiences’ buying behаviors better thаn ever before. 

TAGGED:agilebig datadata quality
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

big data analytics in transporation
Turning Data Into Decisions: How Analytics Improves Transportation Strategy
Analytics Big Data Exclusive
AI and fund manager software
AI And The Acceleration Of Information Flows From Fund Managers To Investors
Artificial Intelligence Exclusive
sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Big Data in Travel
Big Data

Predictive Tourism: The Merger Of Big Data In Travel Industry

6 Min Read
leveraging big data for video marketing
Big DataExclusive

Leveraging Big Data To Create An Extraordinary Explainer Video

6 Min Read
big data and IT industry
Big DataExclusiveIT

Big Data Leads To A Turning Point In Shadow IT

6 Min Read
In The Age Of Big Data, Is Microsoft Excel Still Relevant?
Big Data

In The Age Of Big Data, Is Microsoft Excel Still Relevant?

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?