Companies can't adapt digital advertising campaigns fast enough when using traditional advertising analytics software. The mix between channel, audience, product, or ad copy is constantly changing. Media buyers need to visualize these relationships to optimize their ad spend over the course of a campaign, but standard ad reporting tools are too slow and static.

OmniSci gives you the ability to query and visually examine large ad performance data sets at extreme speeds. With OmniSci's ad analytics tools, you can find hidden insights fast enough to improve results. Mobile gaming companies and media buying agencies have turned to OmniSci to help them reach new levels of ROA with our advanced media analytics software.

Fraud prevention is woven into the fabric of daily banking operations, but only observed patterns trigger Suspicious Activity Reports (SARs) or other anti-fraud measures. Traditional analytics tools cannot present an integrated view of banking operations with sufficient speed or detail to detect all the patterns that fraudsters try so hard to hide.

OmniSci provides fraud analysts with meaningful dashboards that allow them to cross-filter dozens of attributes such as large dollar deposits, unusual account openings, or suspicious wire transfers. Risk analytics teams can visually examine multi-billion row datasets in milliseconds and identify hidden fraud risks that they can address directly or use to train ML algorithms to automatically detect similar patterns in the future.

Unauthorized intruders infiltrate systems of national governments and global enterprises by covering their tracks across identities, devices and behaviors. Teams in security operations centers (SOCs) receive countless incident reports, most of which are false positives. When an actual attack has occurred, slow analytics across fragmented data make it impossible for security teams to identify and patch vulnerabilities before more data is compromised.

OmniSci's zero-latency visual data analytics require no pre-aggregation. This speed gives financial security analysts instant insight. They can run hundreds of queries in rapid succession without losing access to granular information. SOC teams can investigate far more cyber alerts every day, and when they find a vulnerability, they have the data they need to quickly apply the right patch and maintain a continuous patch cadence that deters future attacks.

Smart meters give public utilities at least 1,000 times more data about how electricity is generated, distributed and consumed. But the volume and velocity of this new smart meter data is overwhelming their legacy analytics platforms. Slow, incomplete insights are hindering industry innovations like time-of-use pricing and net metering.

Households consume different amounts of electricity every hour, and demand fluctuates. Changes in weather, demographics, pricing and many other factors determine the difference between electricity production and consumption. OmniSci helps utilities research past consumption and make operational decisions to balance the grid.

Location-based metadata can create a wealth of new business opportunities. But this data stream is scaling too quickly for developers who want to build apps that reveal relationships between people and device location and other operational data. Existing analytics engines can't keep up with the volume and velocity of today's operational data.

The OmniSciDB SQL engine is designed for this new era of location intelligence. It can process billions of rows of structured data in milliseconds and display it visually at the same speed. This dramatically accelerates logistical analysis and connects critical business data with mobile location metadata. OmniSciDB is open source. In-house or third-party developers can easily create new apps to deliver analytic applications that explore layers of operational location and logistics data.

Logistics is the biggest determinant of operational readiness. Defense and intelligence departments are constantly planning and executing port activities, building distribution networks, and initiating military operations. However, these operations are often conducted in outdated systems that do not provide a true overview of the situation. Because of these "stovepipes," analysis without trends to optimize resource use is inefficient and without predictive analysis to avoid equipment and mission failures is ineffective.

OmniSci gives leaders the ability to leverage and analyze global logistics operations data by quickly cross-filtering large and disparate data sets. This enables tactical decision making to guide forces and supplies, optimize networks, assess infrastructure, predict maintenance requirements and meet strict timelines. These logistical analytics are layered over geographic datasets to support real-time Big Data analytics for logistical operations regardless of mission.

Telecommunications networks transmit data from multiple towers to handsets, which then report signal strength back to the towers. Network operations centers (NOCs) monitor this exchange to identify instances of poor signal strength. Traditional network analysis software cannot query and visualize call detail records (CDRs) or network logs fast enough for NOCs to troubleshoot problems before customers notice.

Network signal strength varies constantly by location and over time. With OmniSci, NOC teams can query and examine CDRs and telecom network data on geodiagrams to understand where anomalies are occurring and then troubleshoot them. These responsive spatial analytics help telcos and network analysts send service teams where they are needed most to keep customers happy.

Logistics is the biggest determinant of operational readiness. Defense and intelligence departments are constantly planning and executing port activities, building distribution networks, and initiating military operations. However, these operations are often conducted in outdated systems that do not provide a true overview of the situation. Because of these "stovepipes," analysis without trends to optimize resource use is inefficient and without predictive analysis to avoid equipment and mission failures is ineffective.

OmniSci gives leaders the ability to leverage and analyze global logistics operations data by quickly cross-filtering large and disparate data sets. This enables tactical decision making to guide forces and supplies, optimize networks, assess infrastructure, predict maintenance requirements and meet strict timelines. These logistical analytics are layered over geographic datasets to support real-time Big Data analytics for logistical operations regardless of mission.

The impacts of snowstorms, wildfires, and hurricanes are difficult to predict or track at the local level. Mainstream analytics cannot interrogate or visualize weather disasters quickly enough to provide accurate evacuation warnings that can save lives. This predictive view of weather forces citizens and first responders to react after people are already in danger.

OmniSci presents new forms of sensor and IoT data along with traditional sources on interactive weather dashboards. Microclimate maps are updated every minute, providing geolocation insights to authorities and first responders to keep people safe. Dynamic weather maps also show airlines, construction companies and insurance companies how to assess property risk from extreme weather.

Today's information environment presents a unique challenge to the warfighter. An avalanche of collected information from all disciplines contains actionable data critical to mission success. However, traditional analysis tools are too slow, unwieldy and costly to extract these insights or visualize them quickly and accurately to provide real-time situational awareness.

Only OmniSci provides the SQL engine capable of taking this collected data and visualizing it in the blink of an eye. OmniSci provides public sector analysts and executives with an interactive dashboard capable of ingesting and visualizing large amounts of data from multiple sources. They can toggle data layers via a single geochart to derive actionable insights and insights for mission success.

As the world's population continues to grow and more people move into megacities, urban planners face the challenge of accommodating more residents in the same urban area. This is arguably the most critical issue facing governments, as the growing population increases pressure on utilities, energy, transportation, housing, and health resources. City planning departments need a new form of site intelligence to meet this challenge.

Only the OmniSci platform gives city leaders the ability to query and visualize their large geospatial data sets with the speed and scale necessary to keep pace with urbanization. OmniSci provides the ability to ingest massive location datasets from multiple sources and filter them to see how crime, public health, homelessness, and education outcomes vary by location.

Geospatial data is needed at every stage of upstream exploration and production (E&P) in the oil and gas industry. The mapping, leasing, site preparation and drilling phases all have the potential to generate vast amounts of data that geologists and project managers can use to reduce costs and improve yields. But the wealth of data flowing from sensor-driven machines, geological models and seismic software overwhelms standard oil and gas analysis software, which was developed for an earlier era when all data was less numerous and site data was particularly difficult to integrate into operations.

OmniSci's visual analytics help oil and gas analytics companies and other decision makers sift through the largest spatio-temporal telematics datasets, accelerating geospatial data analysis and data science. It provides oil and gas companies with the ability to visualize all of their Big Data analytics for oil and gas to improve efficiency around exploration and field operations. It provides these companies with a dashboard for oil and gas data analytics to reduce costs, minimize risks, and optimize production.

Battlespace awareness is critical to shortening decision cycles and making better decisions than the adversary. Intelligence teams must quickly capture, collect, process, analyze, evaluate and leverage data streams. But today's information-intensive operating environments overwhelm current geospatial tools, slowing time-to-analysis and intelligence cycles at mission-critical moments.

OmniSci is the GPU-accelerated analytics platform that enables intelligence analysts and commanders to query, visualize and interact with large geolocation datasets without perceptible latency. This enables intelligence analysts to visually explore at the speed of thought via an intuitive, easy-to-use dashboard powered by the most advanced analytics engine on the market. Master your information environment by reducing time to insight and decision making.

Artificial intelligence can outperform traditional techniques in predicting market movements, but the increased use of AI comes at a price. Without interactive, visual feature engineering capabilities, data scientists spend too much time manually examining hundreds of market variables, searching for the most predictive features to train their models, and delaying the time when the model goes into production.

The OmniSci platform provides hedge fund and investment management firm data scientists with a far faster way to build their AI models, leading to smarter investment analytics. By making visual exploration of billions of data sets 100 times faster than before, asset managers and brokers can take advantage of more opportunities, avoid more risks, and gain a competitive edge through predictive analytics in investment management.

Artificial intelligence is increasingly being used to predict machine failures to minimize downtime and maintenance costs for automobiles, ships or aircraft. But engineers struggle to explain the black-box recommendations of an AI model. So executives are turning to human experience and "gut instinct" to use predictive analytics in the logistics industry to keep field equipment running as intended.

OmniSci's visual analytics make AI models more accessible to the scientists who create them and to the broader audience of logistics managers, military commanders, or regulators who need to understand them. With instant visual exploration of the same underlying elements that trained AI models, anyone can trust their predictions.

Hospitals around the world are trying to optimize operational efficiency by predicting optimal staffing levels without putting lives at risk during peak demand. Healthcare administrators lack a common visualization platform to track results and extend their machine learning models for accurate staffing predictions.

The OmniSci platform enables hospital staffing analysts to visualize a model's predictions and compare them to actual staffing results. Each click on a chart generates SQL queries that complete in milliseconds. Then, all visual elements are instantly updated, giving you the best clinical pathway for your patients. Similarly, keeping readmission rates low is a hospital's number one goal. Imagine if you could use all this data to build ML models that guide staffing decisions, predict readmissions, and recommend preventive treatments.

Tutela, Crowdsourced Data for the Mobile Industry, hat sich zum Ziel gesetzt, eine Crowdsourced-Lösung zur Visualisierung von Mobilfunkdaten zur Netzqualität zu entwickeln. Sobald die Daten extreme Mengen erreichten, wurden sie zu viel für traditionelle Telekommunikationsdaten-Visualisierungstools. Es erforderte tagelange Arbeit, um geringfügige Erkenntnisse aus einem an sich wertvollen Datensatz zu gewinnen. Tutela entschied sich für die Einbettung der visuellen Analytik von OmniSci, um seinen Kunden ein interaktives Portal zu bieten, mit dem sie die Netzwerkleistungsdaten selbst erkunden können.

Today, Tutela's software is installed and running on over 200 million cell phones worldwide, measuring the signal quality of the mobile network. Tutela's mobile telecom customers use OmniSci Immerse to see the health of their networks. This helps these telcos with operational analytics to improve their coverage and provide a better customer experience.

Second Measure, a business performance and consumer behavior analytics platform, built its business by analyzing credit card transactions, the volume of which represented about 1% of all consumer spending in the United States. The company's goal was to provide these analytics to financial analysts and equity researchers seeking insights into public and private companies. Second Measure wanted to accelerate performance to provide a better experience for its time-sensitive customers.

Second Measure uses OmniSci to accelerate its queries that analyze every transaction from every customer for a given company. Now it delivers business and financial market analysis so quickly that its clients are able to: Instantly spot turning points in companies, identify the fastest growing companies each week, and see the latest company performance before it's announced.

Pactriglo, a real estate information service, was founded on the premise that maximizing developers' use of existing zoning data could bypass the lengthy political process and help solve LA's housing crisis. Existing platforms such as ZIMAS, NavigateLA, and LADBS were unable to dive into millions of data points simultaneously or explore the data interactively by zone down to the street level. Pactriglo's custom real estate application could only achieve this goal by leveraging the power of OmniSci to query and visually explore regional housing data much faster than existing geospatial analytics tools.

Pactriglo supports its building development customers by providing them with OmniSci's visual analytics and SQL engine so they can slice and dice the dataset in its entirety. This eliminates the need for pre-aggregation, and Pactriglo users can see the results in milliseconds. They can easily filter the data by key characteristics: zoning, subzoning, use, or construction activity.

EXPLORING BIG DATA WITHOUT THE LATENCY

Big Data storage platforms have slow query speeds and limited visualization options. Use Sqoop to pull data from Hadoop into OmniSci for millisecond queries and Big Data research visualization. It's still big. Now it's fast.

VISUALIZE THE UNKNOWN UNKNOWN

Important insights come from the answers to thousands of small questions that arise during research. With OmniSci, iterative exploration goes fast, so you can find answers to Big Data research questions you weren't looking for.

LIVING OUT YOUR CURIOSITY WITH INTUITIVE ANALYTICS

Analytical platforms favored by statisticians or Python engineers can separate insights from front-line data workers. OmniSci's intuitive dashboards make Big Data research and analysis easy for anyone with a web browser.