10 Tools Helping Companies Manage Big Marketing DataBig data has become central to developing the best marketing strategy.

ByDeep Patel

Opinions expressed by Entrepreneur contributors are their own.

Busakorn Pongparnit | Getty Images

One of the latest trends in the business world isbig data-- after all, analyzing big data is a highly effective way to develop effective marketing and sales strategies. It's extremely useful, as it includes massive amounts of information collected on customers from everything from email marketing campaigns to web analytics.

Due to the vastness of information available, however, it can get difficult for marketers to aggregate and analyze it all in an efficient way. Luckily, there are many tools out there to help companies manage big marketing data. Here are ten of the best:

1. Improvado.io

在2014年,60 percent业务人员的通讯报d pressure from upper management to be more data-driven -- especially marketers.Improvado.io'ssolution aggregates marketing data from 50+ API integrations in one place, without developers.

By simply connecting to the platform, you can view social, search, display marketing data through Improvado.io's widget based dashboard or automatically push the data into any third-party business intelligence tool, like Google Data Studio or Tableau, for example.

Related:'Big Data' Is No Longer Enough: It's Now All About 'Fast Data'

2. Mixpanel

Thirtythree percentof elite marketers say that having the right technologies for data collection and analysis is the most useful in understanding customers; apparently, the designers ofMixpanelagree.

This tool tracks comprehensive user behavior, which lets organizations see what their potential customers are doing on their websites. Mixpanel organizes the data for you, allowing you to see patterns in web usage to help inform future marketing strategies.

Related:How Big Data Analytics Is Solving Big Advertiser Problems

3. Skytree

Skytreeprovides users with important analytics on customer segmentation, fraud detection, churn prediction and more. Further, it accepts and analyzes data streams for everything from relational databases to machine learning libraries, which would be extremely helpful for the39 percentof marketers who say that their data is collected "too infrequently or not real-time enough."

Related:Why You Need to Embrace the Big Data Trend in HR

4. Karmasphere

It's predicted that there will be between140,000 and 190,000too few people with the analytical skills necessary for big data jobs by 2018. This means that the few big data experts will be expensive to employ, so it's important that you're able to work with big data yourself.Karmasphereallows users to organize their big data analytics on Hadoop, making the somewhat-complicated software a lot easier for the common person to manipulate.

5. Jaspersoft

The volume of business data worldwide doublesevery 1.2 years, requiring companies to continuously manage increasing amounts of data to stay on top of it all.Jaspersoftcovers a huge range of services from online analytical processing to data integration and visualization, making managing that much information a breeze.

Related:The Big Deal About Big Data for Small Business

6. Talend

Talend的Master Data Management offering is a great tool for integrating real-time data and applications while making sure all of the data is high-quality. Poor data quality costs U.S. businesses$600 billion a year, so taking some preventative measures like using Talend's data-cleaning services can save you a lot of trouble further down the road.

7. Apache Hadoop

With2.7 zettabytesof data existing in the digital universe today, organizations need somewhere to store it. This is whereHadoopcomes in: this tool provides massive amounts of storage for any kind of data, packs a punch with its processing power, and can manage several concurrent jobs. Even better, Hadoop is an open-source software framework, which means you can scale your data up and down without worrying about any hardware failures.

Related:Why Entrepreneurs Should Look Beyond Big Data

8. Marketing Evolution

Marketing Evolutionaids marketers in creating ROI plans using big data -- given the fact that29 percentof respondents report that their marketing departments have "too little or no customer/consumer data," this is filling a significant need. In essence, this tool helps users figure out the "right" data to analyze, helping them dial into that precious consumer information. Even better, it helps users figure out in real-time which marketing pushes work best with different types of people and situations.

9. OpenRefine

OpenRefineis another open source tool that quickly and easily explores huge data sets -- even when the data quality is relatively poor. Since poor data can cost businesses20 to 35 percentof their operating revenue, this is especially important for companies keeping an eye on their bottom line. Its user-friendliness also helps, as beginners can still clean up data sets for effective use.

Related:With Whole Foods Purchase, Amazon Just Bought a Playground for Big Data

10. Kapost's Content Scoring

Finally,Kapost's Content Scoringuses big marketing data to help users determine how much revenue individual pieces of content make. Only16.6 percentof marketers use marketing analytics to inform multi-channel marketing, which means this tool can help your business get ahead of the competition.

In our technologically-advanced world, big data is becoming the name of the game in developing marketing strategies. These tools can help your organization leverage big data to boost your own campaigns.

Deep Patel

Entrepreneur Leadership Network® Writer

Serial Entrepreneur

Deep Patel is a serial entrepreneur, marketer and investor. He is the founder of the wellness brand Penguin CBD. The company was rated the No. 1 CBD brand of 2020 by Snoop Dogg’s Merry Jane and was acquired in May 2021. Patel also worked with companies like Cellucor (maker of C4) and A.T. Kearney.

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