The DataHero Blog

Self-Service Big Data Analytics Made Incredibly Easy

July 17th, 2017

There are several ways to manage your big data—you can invest more in IT and hire a team of data engineers to write SQL queries. But that means that it’s taking days or even weeks just to generate a report.

Your data lake is overflowing, and you’re using outdated information to make important business decisions. With data volumes projected to reach 40 trillion gigabytes by 2020, you don’t have time to struggle with data and grow your business.

But you can change this with the right cloud-based analytics tools. The best analytics tools out there help you get straight from data to actionable insights as quickly as possible. But with all the possible choices, it can be hard to decide which is the right business intelligence platform for you.

Here we’ve shown how DataHero can be used in different stages of your data analysis—and how this compares to other cloud-based analytics tools—so you can determine which is the most efficient platform for you.

Intuitive navigation for every step of your analysis

Data helps people make fast autonomous decisions. If everyone on your team can manage and understand your data, then they can quickly act on it to drive sales—and you’ll have more time to help your customers.

Here are three main areas where everyone on your team can save time when navigating your analytics tool.

  • Organizing your data: You’re able to easily import your data from any source, and then format it, so you have an accurate dataset to create charts.
  • Visualizing your data: Once your data is organized properly, you can create compelling charts to analyze trends. You’ll quickly switch different variables to see various breakdowns of your data.
  • Sharing your data: After you’ve created charts, you can send these results to the rest of your team. Everyone will have access to the latest results, even if your data gets updated.

Here’s how DataHero handles each step of the analysis—organizing, visualizing, and sharing your data—and how other cloud-based analytics tools perform each task.

Organizing your data

Your raw data is only useful after you’ve spent several hours trying to import and clean it up. You’re wasting time searching for valuable insights that are buried in redundant data.

But you’re not the only one wasting time—your marketing team is still sending several emails to duplicate leads in your CRM system. Now your promotional campaign is annoying potential customers.

We designed DataHero so that it’s simple to organize your raw data source, whether that’s an Excel spreadsheet or your MailChimp campaign data. After you select an import source, it automatically processes and organizes your data so you don’t have to spend hours cleaning up your data swamp. You can rapidly start analyzing keyword referrals from your Google Analytics campaign instead, for example.

Big data analytics

DataHero intuitively guides you through the formatting process with clear call to action buttons. After you’ve successfully imported your data, you can confirm that it looks good. If it doesn’t look right, you can watch a video to find out how to check data formatting, check the help documentation, or chat with support.

big data analytics

You can format your data in each column by selecting a field from the dropdown filters. For example, you could choose to have an entire column formatted as a URL if you’re working with a list of referral paths.

big data analytics

Tableau is a data analysis tool that can format your data to an extent, but you can’t clean or organize it in Tableau Online. You can only make changes to your file or with Tableau Desktop and then republish that data to Tableau Online. This creates friction when you have to switch between your desktop and the cloud just to reformat your data.

But even if your data is clean, you still have to go through a lengthy publishing process to actually import your cloud-based data into Tableau Online. For example, if you wanted to import your Google Analytics data, you would need to be familiar with SQL queries just to access it. You’ll spend more time asking your IT department for help than actually organizing your data.

Visualizing your data

Our brain has a natural bias for patterns—but we still need help connecting the dots with data. You want to visualize the patterns in your data, but you don’t have time to customize charts that show every trend.

You just care about getting a quick chart. But it’s not always easy to know which answers you actually need from your data—if there aren’t suggested charts, you’ll either spend several minutes trying to create your own, or you might not make a chart at all.

DataHero’s predictive analytics saves you the guesswork with chart creation. If you don’t know what variables or trends to track, DataHero automatically suggests several charts that you could use.

big data analytics
big data analytics

After you’ve selected a chart, the drag and drop interface makes it incredibly simple to filter and customize your chart. In this example for organic searches by date, we dragged over keywords to analyze traffic breakdown by keywords and fiscal quarter. Now we have a clear view of which keywords work and which ones don’t generate a lot of traffic.

big data analytics

If you want to do further analysis, you can drag and drop more data fields to the chart. If you want to analyze keyword breakdown by social network, for example, you can just drag over the Social Network field.

big data analytics

DataHero doesn’t just make it easy to create charts—you can export retina quality charts. Whether you’re pitching your strategy to your board on a large LED screen or your tablet’s retina display, you can impress them with clear HD quality charts.

big data analytics
big data analytics

ReportDash is a data visualization tool that also helps you customize your charts, but it has a very confusing interface and doesn’t automatically suggest charts. You have to create a new widget and input several variables just to create a bar chart. And you have to make sure you input everything exactly right into each field—otherwise, your graph won’t make sense.

big data analytics

If you want to experiment with different variables to get another visualization of your data, you’ll either have to edit your widget or create a new one. You’ll spend more time playing around with metrics and filters rather than getting quick comparisons from your data.

Sharing your data

Your data is useless if no one can access it.

You need an easy way to get this data to the rest of your team, instead of it staying siloed away. When your data changes, you need everyone on your team to be updated with the latest results so they can act on it.

We designed DataHero to end this problem of siloed data. It draws data from the applications your business already uses and brings it together into an all-in-one dashboard that you can customize and share.

You can simply drag and drop the charts you’ve created to your dashboard and share it with your team. Your team can collaborate, your clients can access your dashboard, and everyone will see the latest results of your analysis.

big data analytics

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Your data is constantly changing, especially if you do several iterations of your keyword campaign, for example. DataHero’s live chart updates will automatically refresh your data and update your dashboards that you share with the team. Your marketing team can see the latest results of your AdWords campaign and adjust their strategy accordingly.

big data analytics

BIME is a business intelligence tool that also has the capability to create and share dashboards. However, BIME’s dashboard builder doesn’t allow you to drag and drop your graphs. You have to create a query and build widgets from your data. You spend more time customizing and resizing your dashboard widgets before you actually publish and share the latest results with your team.

Also, if your data source is an Excel or CSV file that you stored in the cloud, you won’t be able to schedule automatic updates for it. Instead, you’ll have to reupload that file every time you want to refresh your dashboard. This means that you’ll spend more time making sure your team has the latest information.

Predictive analytics for faster data-driven strategies

With a simple drag and drop interface, DataHero can give you more insights on how to segment your emails or build your keyword campaigns. You can easily integrate third-party apps like Dropbox or Marketo to gain further insights from your cloud-based data. And you don’t need a large team of statisticians and programmers to manage your unstructured data.

Big data will be a $500 billion industry in 3 years, so you need a tool that will make it easy to tap into those profitable insights. But once you have those valuable insights, you can predict customer behavior and ultimately drive revenue. You’ll be able to spend more time on your marketing strategy and less time wrestling with data.

We’d love to hear how you’re trying to analyze and share your datasets. If you want to automatically update your charts, combine data, and create unlimited dashboards, click here to learn more about our Premium subscription.

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By Walter Chen

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