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: How Big Data Analytics is Driving The Future of Technological Business Success
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > How Big Data Analytics is Driving The Future of Technological Business Success
AnalyticsBig DataBusiness IntelligenceIT

How Big Data Analytics is Driving The Future of Technological Business Success

Rehan Ijaz
Rehan Ijaz
5 Min Read
SHARE

Why Big Data Analytics is pertinent to ultimate business sucess

There are many tools available to help keep businesses ahead of their competition, but perhaps none are as valuable as those that provide data analysis. Analyzing public data can enable a business to preempt trends and understand customers’ needs and desires. This last can be particularly valuable to technology companies whose products are in high demand by consumers.

Auto insurance companies are particularly interested in using big data. Actuaries have always tried to store data on customers to understand their risk profile, but their data has been limited to driving histories. In the future, big data may help them keep track of other variables more easily, such as monitoring EZ pass records to see which areas drivers spend the most time.

Defining data analysis

More Read

#10: Here’s a thought…
Locky Ransomware Statistics: Geos Targeted, Amounts Paid, Spread Volumes and Much More…
Ben Shneiderman’s HCIR 2009 Keynote: The Future of Information Discovery
The Truth About Data Scientists – It’s A Lot Bigger than Big Data
Application Development Consulting Helps Companies Get the Most of AI

Data analysis is a process that reviews information collected from users’ visits to websites, survey responses and many other types of information-gathering techniques to inform a wide variety of decision-making processes and for conclusions to be reached. With so much data available and with so much of it being hugely complex, so much so that it has been given its own name – Big Data, it is necessary that dedicated computer programs and online tools perform this process.

Different kinds of data

Just as there are different types of data, there are a wide variety of data tools and platforms available. Household names, such as Hewlett Packard and Microsoft, use Big Data analytic platforms developed by Apache Hadoop, while others use tools developed by Cloudera. Some use structured data, which is any data that has a home in a fixed field within a file and is often found in relational databases, such as CRMs, and spreadsheets. Others use unstructured data, which is data that defies such classification, such as graphics, photos, PDFs and blog posts. Then there is mobile data, which is data collected from mobile devices, and online data, information collected from Internet users.

How does data analysis help technology businesses?

Data capture and analysis using these tools can help a technology business in a number of ways. The primary use is for growth. Data analysis can indicate which parts of a business’s offerings are the most successful with consumers or users, and which the least, and therefore which demonstrate the most potential in terms of sales and those that are a drain on the company’s resources that may inhibit expansion. A good example of how data analysis can aid a company’s growth is provided by Keith J Krach, who as the Chairman and CEO of DocuSign, has made it possible for users to transact contract-based business wherever they are in the world and at any time. His involvement in this digital development enabled the company Ariba to double in size and thereby fulfill consumer demand for the service.

Marketing

One of the major advantages to carrying out data analysis is how the conclusions reached can be used to develop marketing campaigns that will increase sales and help grow the business. Data analysis can be used to understand the needs and wants of a specific demographic that the technology business is trying to attract, so that they can tailor their marketing to appeal directly to this group by providing solutions to their specific problems. This approach makes a marketing campaign far more cost-effective by not attempting to appeal to people that do not intend to buy their product, and can influence future produce development.

Personalization

Data analysis can also lead to greater personalization opportunities for technological items. For example, communications between company and consumer can be personalized, so that a marketing email is addressed to a named person rather than just a ‘Valued Customer’. This helps to deepen the relationship between the provider and the user, and ultimately engenders customer loyalty and retention.

Data analysis tools can be of huge benefit to technology companies in helping to tailor marketing campaigns to specific groups, develop new products and enhance relationships with consumers, providing, of course, that the data gathered is used in a legal, ethical manner.

Share This Article
Facebook Pinterest LinkedIn
Share
ByRehan Ijaz
Follow:
Rehan is an entrepreneur, business graduate, content strategist and editor overseeing contributed content at BigdataShowcase. He is passionate about writing stuff for startups. His areas of interest include digital business strategy and strategic decision making.

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

Business Continuity RPO and RTO: Why Should I Care?

5 Min Read

IBM’s New Retail Tools How you shop: what it…

1 Min Read

5 Powerful Ways Retailers Can Leverage Big Data and Hadoop

8 Min Read
benefits of cloud computing in the construction industry
Cloud Computing

The Cloud is Disrupting Project Management in the Construction Industry

8 Min Read

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

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
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?