MapD gives you the power to query large datasets at extreme speeds. You don’t have to wait for tomorrow’s static report. Make your data-driven decision now, and then make 100 more before lunch.
Analytics was a two player sport: decision-makers asked questions and analysts found answers. Now, MapD’s web-based dashboards let business leaders discover their own insights without having to wait.
With MapD, every team member can analyze data and share insights with colleagues. This boosts situational awareness, with more people watching operations and taking data-driven action.
“Speed is very important to our clients because they want to look at what they have done, what they need to adjust today, and what they need to do tomorrow.”
Businesses cannot adjust digital ad campaigns quickly enough using mainstream analytics. The mix between channel, target audience, product, or ad copy is constantly shifting. Media buyers must visualize those relationships to optimize their ad dollars as a campaign progresses, but standard reporting is too slow and too static.
MapD gives you the power to query and visually explore large ad performance datasets at extreme speed, so you can find hidden insights quickly enough to improve results. Mobile gaming companies and media buying agencies have turned to the MapD analytic platform to achieve a new level of ROA.
How Simulmedia visualizes and analyzes the impact of TV ad spend in milliseconds
Simulmedia's adoption of MapD for advertising analytics on campaign performance
Fraud prevention is woven into the fabric of daily banking operations, but only observed patterns trigger Suspicious Activity Reports (SARs) or other fraud mitigation actions. Mainstream analytics tools cannot show an integrated view of banking operations with enough speed or detail to detect all the patterns that fraudsters try so hard to hide.
MapD gives fraud analysts immersive dashboards to cross-filter dozens of attributes like large dollar deposits, unusual account opens, or suspicious wire transfers. Risk teams can visually explore multi-billion row datasets in milliseconds and spot hidden pockets of fraud risk that they can address directly or use to train ML algorithms to automatically spot similar patterns in the future.
Unauthorized intruders infiltrate systems of national governments and global corporations by hiding their tracks across identities, devices and behavior. Teams in Security Operations Centers (SOCs) receive countless incident alerts, but most are false alarms, so SOCs waste thousands of hours a year investigating those. When an actual attack has occurred, slow analytics across fragmented data make it harder for security teams to identify and patch vulnerabilities before more data is compromised.
MapD's zero-latency visual analytics don't require pre-aggregation. In this cat-and-mouse game, that speed gives security analysts immediate insight. They can perform hundreds of queries in quick succession, without losing access to any granular information. SOC teams can investigate far more cyber alerts every day, and when they do find a vulnerability they have the data they need to apply the right patch quickly, maintaining an ongoing patch cadence that deters future attacks.
Smart meters have given public utilities at least 1,000 times more data on how electricity is generated, distributed and consumed. Yet the volume and speed of that new smart meter data swamps their legacy analytics platforms. Slow, incomplete insight stymies industry innovations like time-of-use pricing and net metering.
Households use different amounts of electricity every hour, and demand fluctuates. Changes to weather, demographics, pricing schedules and many more factors drive the difference between electricity production and consumption. MapD helps utilities research past consumption and make operational decision to balance the grid.
Location-based metadata can create a wealth of new business opportunity. Yet this stream of data scales too quickly for developers who want to create apps showing relationships between the location of people and equipment to other operational data. Existing analytic engines cannot keep up with the scale and speed of today’s operational data.
The MapD Core SQL engine was designed for this new era of location intelligence. It can process billions of rows of structured data in milliseconds and visually render those with the same speed. This dramatically accelerates operational analytics, marrying vital business datasets to mobile location metadata. Because MapD Core is open-source, in-house or third-party developers can easily create new apps to deliver analytic apps for exploring layers of operational location data.
Logistics is the single greatest determinant of operational readiness. DoD and DHS continually plan and execute port activities, establish distribution networks, and initiate military operations. Yet these operations are often performed in legacy, stove-pipe systems that don’t provide a true view of situational awareness. Because of these stovepipes, analysis is inefficient without trends to optimize placement of resources, and they are ineffective without predictive maintenance to prevent equipment, and mission, failure.
MapD gives leaders the ability to exploit and analyze global logistics operations data through rapid crossfiltering of large and disparate datasets. This provides tactical decision making to guide troops and supplies, optimize networks, assess infrastructure, predict maintenance needs, and meet strict timelines. These operational analytics are layered over geographic datasets, to support real-time logistics operations regardless of the mission.