Dataminr Pulse vs. MutualMind

For any news editor, Dataminr is a must. It is the only platform I have used which I would 100 percent recommend to anyone who needs constant access and notification to all that is going on in the world's media. Various other platforms provide information, but Dataminr collates all these other platforms together into one easy to use interface. It is remarkably quick to check Dataminr after receiving a desktop or email notification and find out what is going on regarding a specific subject. As a news editor, I am required to manage a news team that produces copy for breaking stories, and Dataminr allows me to find news and commission it faster than any other platform I have previously used.

Incentivized

• Collating various sources into one interface makes keeping track of breaking news remarkably easy.
• The live update feature means updates from breaking stories are fed directly to the consumer. This means users do not have to go out their way to find out every last detail of a story, and can instead use their time writing the story.

Incentivized

• MutualMind gives us a view into the reach of social content we produce on behalf of our advertisers and the engagement that content generates with shoppers.

• Setting up Dataminr can be relatively obtuse. Although basic functions are easy to use, the more in-depth aspects require research and training to use correctly.
• Topics are very broad, which can be a negative at times. It would be useful to have 'football' as a topic rather than 'sport', for instance.

Incentivized

• MutualMind gauges sentiment around social conversations but does so with the standard margin of error found in most social analytics products. The nature of human conversation makes it difficult for a machine to categorize sentiment with 100% accuracy. MutualMind gets sentiment right between 50% to 70% which is within acceptable industry averages for this type of product. With additional tuning (which MutualMind provides) the accuracy levels will increase.

Reliability and flexibility (MutualMind's willingness to jointly produce new functionality)

As a company that's only 3 years old, MutualMind's toolset is quite usable but it could use some tweaks in the user interface, which they are constantly working on.

During a recent upgrade period, MutualMind had a small window of unavailability. I am confident they have addressed the root cause and do not foresee any future issues.

The product's performance has improved greatly in the last year and we anticipate seeing additional improvements in coming months based no planned infrastructure changes.

Connection issues/downtime occur but they are rare and generally quickly fixed. There are frequent seminars and tutorials to teach the platform. This is an excellent decision from the company and has made me more willing to learn how to use Dataminr correctly. As a result of this, I use the platform more than I would have if I had been forced to learn everything myself.

Incentivized

MutualMind has always been quick to address any issues or questions we have.

Not really...MutualMind was very professional and helped with all stages of our setup and implementation.

Before using Dataminr we did not use a similar platform, with stories discovered by simply crawling the web (TweetDeck/Reddit/news sites, etc). Because of this, Dataminr has been a game-changer for us and has revolutionized the way we have worked since it was introduced. Being able to completely remove one aspect of the job (searching for news) has increased productivity in all other areas.

Incentivized

As mentioned before, Radian6 and Sysomos Heartbeat.

• Since starting to use Dataminr, our traffic has vastly increased. Though not entirely to thank for the growth, Dataminr has played a role in talkSPORT.com's ComScore increasing by 150 percent over the past 18 months.
• Increased traffic is partly due to producing more content, and Dataminr has directly led to discovering a number of stories we previously would have missed.

Incentivized

• By showing increases in engagement and share of voice (defined as the amount of content generated for our advertisers versus the amount of content generated for their competitors over time) we are able to correlate content to incremental sales data provided by our advertisers.