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
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 4 Great Programs Businesses Can Use to Get Accurate Data Results
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 > 4 Great Programs Businesses Can Use to Get Accurate Data Results
Big DataExclusive

4 Great Programs Businesses Can Use to Get Accurate Data Results

It is imperative that your business has the right data analytics programs to make data-driven decisions.

Ryan Ayers
Ryan Ayers
5 Min Read
Code on computer monitor
SHARE

In 2016 experts projected that the ?big data? industry would be worth somewhere around $30 billion by 2022. Based on last year?s data, that number has grown to $275 billion, and some experts expect it to be even higher after increases in computer usage and ecommerce due to the COVID pandemic forcing many companies to go remote and many consumers to do their shopping online, where data is collected for every purchase from pizza to a streaming movie.

Contents
  • Splunk
  • Sisense
  • Looker
  • GoodData
  • Upgrades

The reason for the industry being so profitable is simple: data makes marketing practices exponentially more economic. Here are 4 programs your business can (and probably should) use to collect, analyze, and incorporate data to make your processes more efficient and secure.

Some more in-depth programs exist, but many require knowledge in a programming language or a very deep understanding of data analytics. This list is for individuals who are looking to ?do it themselves? with data.

Splunk

Splunk is a good choice for novice data users because it has features for beginners, but also can be utilized by teams of individuals who are trained specifically in data analytics, and it is widely used in that aspect. It does have its own query language, but it?s well-explained and easy to learn. In addition to its user-friendliness, Splunk is also touted for its ability to create visual representations of data (graphs, etc.) that can be easily digested and shared with your team.

More Read

data integration guide
How AI and ML Can Transform Data Integration
Machine Learning Maximizes Email Marketing ROI With List Segmentation
Know Me and Be Relevant: What I learned from Disney’s Keynote at NCDM
Three Ways Big Data Is Revamping Manufacturing Processes
Why Google Chrome has a bad market share ?

They also offer an interactive online support forum where users can help each other and also request input from Splunk employees.

Sisense

Sisense analytic software is designed to handle all different kinds of data, so this is a good choice if you have a very unique business model. It is a capable tool for any size scenario, and users like how easy it is to transfer data with a drag-and-drop interface similar to PC desktops. Users can also create their own homepages known as dashboards, which can also be designed to utilize drag-and-drop features, allowing for ease-of-use and quick training for any new colleagues who may need to use your data analytic software.

The interface works with many different programming languages, meaning it?s also a good choice if you plan on analyzing data provided by third parties, and it?s also considered an extremely secure means of sharing data.

Looker

Looker requires zero knowledge of SQL or any other languages, and creating and implementing models for your data sets in a speedy fashion is one of the major selling points for Looker. For individuals who like to stay mobile, or have teams who are remote and active, Looker may be a great choice for the simple fact that data sharing is easy and fluent across all devices, including smartphones. Streaming data capabilities that allow for real-time analytics are also cloud-based and can be viewed by multiple team members at the same time.

GoodData

GoodData?s Business Intelligence program is widely used and heralded for many of it?s offerings. Unlike the other options on this list, user-friendliness is not one of them, but for tech-savvy individuals who are good at ?figuring it out,? this option offers some great features and extremely fast analyzation processes. In addition, users tout the security as the best offered in the industry. Though front-end user-friendliness is questionable, the program offers endless analytic options, all of which are very quick once an understanding of the program is formed.

Due to its top-rated security, finance and health-related business may want to take a close look at this data analytics tool. Customer service is also in real-time.

Upgrades

As touched on in the introduction, the data industry is growing at an incredibly rapid rate, and what is an industry norm today could be obsolete by the end of the week. The name of the game with data is efficiency, and the more up to date with your data collection software, the more efficient your team?s processes will be.

TAGGED:big data in businessdata-driven businessdata-driven decision making
Share This Article
Facebook Pinterest LinkedIn
Share
ByRyan Ayers
Follow:
Ryan Ayers has consulted a number of Fortune 500 companies within multiple industries including information technology and big data. After earning his MBA in 2010, Ayers also began working with start-up companies and aspiring entrepreneurs, with a keen focus on data collection and analysis.

Follow us on Facebook

Latest News

intersection of data and patient care
How Healthcare Careers Are Expanding at the Intersection of Data and Patient Care
Big Data Exclusive
dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News
data analytics for pharmacy trends
How Data Analytics Is Tracking Trends in the Pharmacy Industry
Analytics Big Data Exclusive
ai call centers
Using Generative AI Call Center Solutions to Improve Agent Productivity
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

there are pros and cons of selling on amazon as a data-driven business
Big Data

Pros and Cons of Having a Data-Driven eCommerce Business on Amazon

11 Min Read
data-driven companies have to know how to rename data tables in their SQL databases
SQL

Renaming Tables in SQL Servers is Vital for Data-Driven Entities

13 Min Read
ecommerce data online businesses
Analytics

Top eCommerce Metrics for Online Businesses to Study with Analytics

7 Min Read
residential proxies
Big Data

How Residential Proxies Help Improve Data Gathering

7 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

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?