Alternatives to Robyn

Stella is a platform designed for marketing measurement, providing marketers with robust, scientifically validated insights into which advertisements, campaigns, and media channels effectively contribute to increased revenue. The platform is equipped with three primary tools: Incrementality Testing, Always-On Incrementality, and Media Mix Modeling (MMM). Through Incrementality Testing, Stella conducts geo-holdout studies, also known as inverse holdouts, to evaluate performance differences between test and control areas, effectively isolating the causal effects of advertisements as opposed to relying solely on attribution methods. This tool simplifies complex statistical processes, including causal inference and confidence intervals, allowing users to understand the potential outcomes without a specific campaign, thus uncovering the genuine “lift” attributed to each advertisement. Furthermore, its Media Mix Modeling feature employs a unique Bayesian approach to dissect historical marketing expenditures and various external influences, such as seasonality and promotional events, to assess the contribution of each channel to overall sales effectively. By leveraging these advanced methodologies, Stella empowers marketers to make informed decisions based on accurate data analysis.

Google Meridian is an open source framework for Marketing Mix Modeling (MMM) designed by Google, aimed at assisting advertisers and analysts in effectively assessing the influence of their marketing initiatives across both online and offline platforms without dependence on cookies or individual user tracking. Central to Meridian is a Bayesian causal-inference model that can process aggregated data—including spend, sales, key performance indicators, reach and frequency, geographical data, seasonality, and external controls—to determine the incremental impact of each marketing channel, such as search, social media, video, and offline media, on overall results, as well as to calculate return on ad spend (ROAS), response curves, and optimal budget distribution. As an open-source tool, it affords users complete visibility into the methodologies and code, empowering them to customize model settings, data inputs, and the underlying assumptions. This level of transparency not only enhances trust but also encourages collaboration among users to refine the model further. Additionally, the open-source nature allows for community contributions, which can lead to continuous improvements and innovations in the framework.

WorkMagic delivers a triangulated measurement system that enables brands to accurately quantify the incremental lift of every marketing channel. Using automated geo incrementality testing, it creates test and control groups that show the real, causal impact of campaigns—without manual setup or technical overhead. The platform then refines attribution models and MMM using these results, giving brands a precise and trustworthy view of ROI. WorkMagic also measures halo effects across Amazon, retail, and wholesale, helping brands see the full spectrum of influence beyond just DTC. With a 10-minute integration and guided onboarding, companies can launch their first incrementality test within a week. Actionable insights reveal how much to spend daily on each channel, which campaigns deserve more budget, and when diminishing returns kick in. Brands using WorkMagic consistently see improvements in ROAS, MER, and CAC. It’s the measurement system built for modern paid media complexity—and for brands seeking profitable, data-backed growth.

Eliminating inefficiencies in marketing expenditure is achievable through privacy-conscious attribution, contemporary Bayesian analytics, and automated data workflows. Clients who utilize Recast typically see a blended return on investment rise by 10% within six months, facilitating quicker and more effective growth. By avoiding the use of user-level or cookie data, Recast ensures straightforward setup and resilience against evolving privacy laws that may disrupt other measurement techniques. This platform enhances marketing effectiveness by providing real-time insights into the genuine influence of campaigns. Designed for modern marketers, it allows for adjustments in budget allocation based on ongoing performance metrics. With features such as confidence intervals for every return on investment, saturation curves, and time shift estimates, Recast can predict the most impactful use of budgetary resources. The innovative Bayesian framework enables the seamless integration of your specific business context into the analytical model, ensuring tailored insights that drive results. Ultimately, Recast empowers marketers to make informed decisions that maximize their marketing potential.

Haus is a cutting-edge marketing science platform that provides brands with the ability to accurately assess the true business effects of their advertising campaigns, whether conducted online or offline, by utilizing automated incrementality experiments. It features innovative products such as GeoLift for geographic incrementality testing, Causal Attribution for regular incrementality assessments, and the soon-to-be-released Causal MMM for media mix modeling driven by incrementality. These advanced tools empower users to quickly design and execute experiments within minutes, receive results in as little as two weeks, and enhance their marketing strategies through daily incrementality insights. Furthermore, Haus is committed to offering privacy-conscious solutions that avoid the use of pixels, cookies, or any personally identifiable information, which ensures adherence to the latest privacy regulations. As the landscape of digital marketing continues to evolve, Haus remains at the forefront, equipping brands with the necessary tools to navigate these changes effectively.

Measured provides marketing insight, cross-channel view and media incrementality testing. You can turn on 100+ audience-level experiments on Google, Facebook, and 70+ integrated media platforms. Identify Media Waste, Scale. Up to 30% Marketing Efficiency. Powered by incrementality measurement Ask us today for a free demo! Solutions available: - Cross-Channel View of Marketing Spend, Marketing Attribution - More than 70+ integrations on major media platforms like Google, Facebook and Verizon Media, Criteo. AdRoll, SnapChat. YouTube, and many more! - Run A/B, incrementality, and always-on tests seamlessly - Integration is simple, you can be up and running in less that 24 hours - Learn how to maximize your spending without a stressful stress test

PipelineDB serves as an extension to PostgreSQL, facilitating efficient aggregation of time-series data, tailored for real-time analytics and reporting applications. It empowers users to establish continuous SQL queries that consistently aggregate time-series information while storing only the resulting summaries in standard, searchable tables. This approach can be likened to highly efficient, automatically updated materialized views that require no manual refreshing. Notably, PipelineDB avoids writing raw time-series data to disk, significantly enhancing performance for aggregation tasks. The continuous queries generate their own output streams, allowing for the seamless interconnection of multiple continuous SQL processes into complex networks. This functionality ensures that users can create intricate analytics solutions that respond dynamically to incoming data.

Lifesight is a unified marketing measurement platform that helps marketers move away from inaccurate attribution that leads to misallocated budgets & wasted ad spend. Lifesight leverages modern measurement techniques like marketing mix modeling, incrementality testing & causal attribution to help them make better decisions that result in sustainable & profitable growth. Our core features: Data centralization & operationalization: Eliminate data silos, data quality issues and inconsistencies so you get the right insights every time. Marketing effectiveness measurement: Measure the true causal impact of online and offline marketing on all sales so you can make the right decisions. Planning, forecasting & optimization: Achieve your marketing goals with predictability & confidence with AI-powered insights. Marketing intelligence & analytics: Navigate your way to profitable growth by blending marketing & finance to deliver continuous improvements. Lifesight offers full-funnel measurement for every industry: Ecommerce, Retail, Agencies, gaming, entertainment, B2B SaaS and Travel & lifestyle. Learn more at lifesight.io

Analytic Partners offers a comprehensive commercial analytics solution known as GPS Enterprise (GPS‑E), which seamlessly combines marketing, sales, financial, operational, and external datasets to create a thorough and practical understanding of business performance. This platform is powered by a unique intelligence layer called ROI Genome, leveraging over 25 years of expertise in cross-industry data and analytics to identify the fundamental factors driving growth while also revealing revenue potentials that extend beyond traditional marketing efforts. With GPS-E, organizations can develop continuously adaptive models that surpass conventional Marketing Mix Modeling (MMM) by factoring in non-marketing elements like competitive actions, consumer behaviors, macroeconomic influences, and operational factors, acknowledging that a significant proportion of growth often originates from areas beyond mere advertising expenditure. Additionally, it includes an efficient data orchestration feature named ADAPTA, which facilitates the automation of data collection, validation, and standardization across various agencies and business units, enhancing consistency and accuracy in analytics. This innovative approach empowers companies to make data-driven decisions that are not only informed by marketing but also by a broader spectrum of business dynamics.

Nixtla is a cutting-edge platform designed for time-series forecasting and anomaly detection, centered on its innovative model, TimeGPT, which is recognized as the first generative AI foundation model tailored for time-series information. This model has been trained on an extensive dataset comprising over 100 billion data points across various sectors, including retail, energy, finance, IoT, healthcare, weather, and web traffic, enabling it to make precise zero-shot predictions for numerous applications. Users can effortlessly generate forecasts or identify anomalies in their data with just a few lines of code through the provided Python SDK, even when dealing with irregular or sparse time series, and without the need to construct or train models from the ground up. TimeGPT also boasts advanced capabilities such as accommodating external factors (like events and pricing), enabling simultaneous forecasting of multiple time series, employing custom loss functions, conducting cross-validation, providing prediction intervals, and allowing fine-tuning on specific datasets. This versatility makes Nixtla an invaluable tool for professionals seeking to enhance their time-series analysis and forecasting accuracy.

Skai is the best marketing platform for brands that want to plan, activate, and measure growth strategies through the most engaging digital channels. Skai is the only marketing platform that combines data-driven insights with best-of-breed optimizing to help brands make informed decisions, scale up and measure performance across Google and Facebook, Microsoft, Amazon and Walmart, Roundel and Apple Search Ads. Machine-learning algorithms and artificial Intelligence from Skai leverage market signals to help companies predict and keep up with the omnichannel customer journey. Skai is backed by Sequoia Capital and Arts Alliance, Tenaya Capital and Bain Capital Ventures.

ScanmarQED provides a comprehensive platform designed to revolutionize your data management experience. By minimizing the time spent on calculations, you can focus on enjoying the insights the data offers. This aligns perfectly with the essence of marketing professionals. Consolidated data acts as the powerful energy source for effective marketing analysis. You can create user-friendly dashboards that allow you to uncover insights in mere moments. Evaluate historical campaigns and experiment with countless models every minute. Maximize your marketing potential. Innovate, investigate, and unlock new opportunities. This platform empowers you to take control of your data like never before.

evoML enhances the efficiency of developing high-quality machine learning models by simplifying and automating the comprehensive data science process, enabling the conversion of raw data into meaningful insights in mere days rather than several weeks. It takes charge of vital tasks such as automatic data transformation that identifies anomalies and rectifies imbalances, employs genetic algorithms for feature engineering, conducts parallel evaluations of multiple model candidates, optimizes using multi-objective criteria based on custom metrics, and utilizes GenAI technology for generating synthetic data, which is especially useful for swift prototyping while adhering to data privacy regulations. Users maintain complete ownership of and can modify the generated model code, facilitating smooth deployment as APIs, databases, or local libraries, thereby preventing vendor lock-in and promoting clear, auditable workflows. Additionally, evoML equips teams with user-friendly visualizations, interactive dashboards, and detailed charts to detect patterns, outliers, and anomalies across various applications, including anomaly detection, time-series forecasting, and fraud prevention. With its robust features, evoML not only accelerates the modeling process but also empowers users to make data-driven decisions with confidence.

Advertisers are, on average, wasting 10-15% of their media spending due to ineffective analytics. Sellforte's software-as-a-service (SaaS) platform empowers you to capitalize on previously overlooked business prospects. By utilizing Sellforte's ongoing marketing mix modeling (MMM), you can elevate your marketing measurement capabilities, gaining an unbiased perspective on how various campaigns and media channels contribute to your business success. This preparation is invaluable for board meetings, monthly business reviews, agency discussions, or analyzing campaign effectiveness. With the tagline "Unleash the impact," we emphasize our commitment to generating significant business outcomes from marketing data through our unique data science algorithms and extensive industry knowledge in retail, ecommerce, and telecommunications. Moreover, this approach not only enhances decision-making but also fosters greater collaboration among teams.

Identify underperforming campaigns to swiftly reallocate your advertising budget according to your simulation outcomes while staying within your total budget. Our approach employs a windowless measurement method rooted in probabilistic analysis, utilizing time-series data from both your ecommerce platform and various marketing channels to pinpoint the factors that truly influence performance. By analyzing your brand's historical metrics, you can predict the revenue and return on ad spend (ROAS) for your campaigns at any adjusted budget level before making any changes. Integrate all of your marketing channels in a mere 10 minutes with our straightforward, one-time setup process. Within 48 hours, you'll receive valuable insights that can inform your strategy. Additionally, marketers can assess and compare the effects of cross-channel awareness on organic searches, direct traffic, and other campaigns, enabling a comprehensive understanding of their marketing ecosystem. This approach empowers brands to make data-driven decisions that enhance overall effectiveness.

Navigating the landscape of marketing becomes increasingly intricate when you move beyond just advertising on Facebook and Google. Rockerbox addresses this challenge by equipping you with the essential marketing infrastructure needed to rapidly and effectively scale your business. By centralizing all of your marketing expenditures and campaigns—whether they are paid, organic, digital, or offline—Rockerbox streamlines your efforts. The platform ensures that conversions are deduplicated, delivering a fully transparent and customizable experience that guarantees your data remains accurate and reliable. If you're facing difficulties in gauging the impact of your brand, Rockerbox offers comprehensive playbooks to guide you. Not clear on how to evaluate OTT, Linear, or Direct Mail effectiveness? Rockerbox provides specific methodologies tailored for each type of media. Looking to understand Facebook views better? The solution lies in utilizing Synthetic Events. Additionally, pondering how swiftly you require a channel to achieve a positive return on ad spend (ROAS)? It's crucial to also consider the level of loss you're prepared to tolerate before a customer becomes profitable, as these metrics play a vital role in your overall marketing strategy.

At Crealytics, we don't just challenge the status quo as a mere saying; we embody it as a fundamental aspect of our corporate ethos. Our mission is to empower brands and retailers to effectively utilize their customer data, enabling them to excel in their paid media performance and cultivate a larger base of loyal customers. By providing performance advertising and marketplace solutions, we partner with more than 60 eCommerce brands, such as ASOS, Urban Outfitters, and Foot Locker. Our focus is on enhancing performance through refined measurement and data activation strategies, as well as optimizing biddable media to enhance customer lifetime value while mastering incrementality testing and improving marketplace offerings. We aim to strengthen brand relationships with innovative sponsored product ads, develop custom private marketplaces, and seamlessly integrate search, PLA, and display programs, all while leveraging dedicated sales support. Our approach allows us to accurately assess customer values through meticulous calculations, ensuring that we measure the precise value of each customer interaction and subsequently evaluate their contribution after returns. Ultimately, we encompass a predicted lifetime value into their order margin, creating a holistic understanding of customer impact on the business. This comprehensive evaluation ensures that our clients not only understand their current standing but are also poised for future growth.

The rampant waste in the advertising industry is a significant threat to profitability that disrupts the experience for both consumers and marketers alike. According to TrafficGuard, it is projected that digital advertising waste could reach as high as $100 million daily over the next five years due to ad fraud. This staggering financial drain poses a serious challenge for omnichannel marketers and necessitates a thorough reevaluation of not only spending and strategy but also the metrics used to assess marketing effectiveness. To connect with consumers more efficiently, it's essential to comprehend their interactions at various touchpoints across both online and offline platforms. By employing advanced analytics, marketers can effectively track and enhance key performance indicators (KPIs) such as campaign effectiveness, customer engagement, and overall sales. Additionally, using data-driven insights and tailored campaign suggestions can empower marketers to make informed choices regarding their media mix, budget allocations, creative strategies, brand development initiatives, and long-term planning. Ultimately, refining the overall media investment strategy is critical for driving essential business outcomes, including brand awareness, generating demand, and boosting sales figures in a competitive landscape. By prioritizing these areas, marketers can better navigate the complexities of the advertising ecosystem and work towards mitigating losses due to inefficiencies.

Achieve a strategic advantage and sustain a superior position against competitors through an innovative automated system designed to interpret diverse data sources for valuable insights. Our time series forecasting solution, Dominate, meticulously examines economic metrics, global market indices, media trends, and additional data to support effective supply chain management and anticipate potential future scenarios. This state-of-the-art method of data preparation has been validated in some of the most challenging environments worldwide. By employing AI and machine learning, we harness the interconnections between comprehensive data elements to effectively influence your results. Our advanced multi-step, multi-factor, multi-target autoregressive models can accurately predict various values and adjust them as necessary. Dominate offers assurance in shaping circumstances to uncover surprising insights and create groundbreaking strategies. Moreover, our tensor completion technique effectively manages flawed and incomplete data while providing time-series forecasting, alert notifications, and impact assessments. Ultimately, this robust capability empowers organizations to navigate uncertainty and make informed decisions with confidence.

Anticipate issues before they arise by utilizing an Azure AI anomaly detection service. This service allows for the seamless integration of time-series anomaly detection features into applications, enabling users to quickly pinpoint problems. The AI Anomaly Detector processes various types of time-series data and intelligently chooses the most effective anomaly detection algorithm tailored to your specific dataset, ensuring superior accuracy. It can identify sudden spikes, drops, deviations from established patterns, and changes in trends using both univariate and multivariate APIs. Users can personalize the service to recognize different levels of anomalies based on their needs. The anomaly detection service can be deployed flexibly, whether in the cloud or at the intelligent edge. With a robust inference engine, the service evaluates your time-series dataset and automatically determines the ideal detection algorithm, enhancing accuracy for your unique context. This automatic detection process removes the necessity for labeled training data, enabling you to save valuable time and concentrate on addressing issues promptly as they arise. By leveraging advanced technology, organizations can enhance their operational efficiency and maintain a proactive approach to problem-solving.

SparkBeyond Discovery independently examines intricate data sets, uncovering solutions to business challenges in unexpected areas. It allows for the effortless incorporation of external data into your investigations, enhancing your understanding of the key factors influencing outcomes and providing a comprehensive view of your business landscape. By enabling users to engage with data and insights in natural language, it fosters a stronger collaboration between analytics and business leaders, pushing analytics initiatives beyond mere experimentation. To ensure that the advantages gained from analytics remain relevant, it promotes a continuous cycle of inputs and outputs that adapt to changing circumstances. As the world evolves, so too must your insights. With the ability to automatically connect various data types, from time-series to geo-spatial, in their original detailed form without any coding required, you can gain valuable perspectives effortlessly. Moreover, by integrating a well-curated repository of global knowledge, including maps, demographic data, and Wikipedia, or by tapping into a network of external data partners, you can significantly enrich your analytical capabilities. This holistic approach ensures that organizations are well-equipped to navigate the complexities of modern business environments.

Detecting anomalies in time series data is critical for the daily functions of numerous organizations. The Timeseries Insights API Preview enables you to extract real-time insights from your time-series datasets effectively. It provides comprehensive information necessary for interpreting your API query results, including details on anomaly occurrences, projected value ranges, and segments of analyzed events. This capability allows for the real-time streaming of data, facilitating the identification of anomalies as they occur. With over 15 years of innovation in security through widely-used consumer applications like Gmail and Search, Google Cloud offers a robust end-to-end infrastructure and a layered security approach. The Timeseries Insights API is seamlessly integrated with other Google Cloud Storage services, ensuring a uniform access method across various storage solutions. You can analyze trends and anomalies across multiple event dimensions and manage datasets that encompass tens of billions of events. Additionally, the system is capable of executing thousands of queries every second, making it a powerful tool for real-time data analysis and decision-making. Such capabilities are invaluable for businesses aiming to enhance their operational efficiency and responsiveness.

Tiger Data reimagines PostgreSQL for the modern era — powering everything from IoT and fintech to AI and Web3. As the creator of TimescaleDB, it brings native time-series, event, and analytical capabilities to the world’s most trusted database engine. Through Tiger Cloud, developers gain access to a fully managed, elastic infrastructure with auto-scaling, high availability, and point-in-time recovery. The platform introduces core innovations like Forks (copy-on-write storage branches for CI/CD and testing), Memory (durable agent context and recall), and Search (hybrid BM25 and vector retrieval). Combined with hypertables, continuous aggregates, and materialized views, Tiger delivers the speed of specialized analytical systems without sacrificing SQL simplicity. Teams use Tiger Data to unify real-time and historical analytics, build AI-driven workflows, and streamline data management at scale. It integrates seamlessly with the entire PostgreSQL ecosystem, supporting APIs, CLIs, and modern development frameworks. With over 20,000 GitHub stars and a thriving developer community, Tiger Data stands as the evolution of PostgreSQL for the intelligent data age.

TimescaleDB brings the power of PostgreSQL to time-series and event data at any scale. It extends standard Postgres with features like automatic time-based partitioning (hypertables), incremental materialized views, and native time-series functions, making it the most efficient way to handle analytical workloads. Designed for use cases like IoT, DevOps monitoring, crypto markets, and real-time analytics, it ingests millions of rows per second while maintaining sub-second query speeds. Developers can run complex time-based queries, joins, and aggregations using familiar SQL syntax — no new language or database model required. Built-in compression ensures long-term data retention without high storage costs, and automated data management handles rollups and retention policies effortlessly. Its hybrid storage architecture merges row-based performance for live data with columnar efficiency for historical queries. Open-source and 100% PostgreSQL compatible, TimescaleDB integrates with Kafka, S3, and the entire Postgres ecosystem. Trusted by global enterprises, it delivers the performance of a purpose-built time-series system without sacrificing Postgres reliability or flexibility.

The Environmental Management system we offer is exceptionally suited for Ministries focused on Agriculture, Natural Resources, and the Environment. It adeptly handles Geospatial Information, time-series data, licenses, permits, applications, and ensures the integrity of quality data pertaining to water, land, and air. The EDAMS Government Environmental Management system is particularly beneficial for these sectors, as it streamlines the management of essential data. By facilitating integration at various levels—database, business process, and transaction—it effectively prevents data duplication and supports demand management. Additionally, EDAMS products feature an embedded GIS while also providing seamless access to ESRI ArcGIS, Quantum GIS (QGIS), and SuperMap GIS. Furthermore, the modular design of the EDAMS system allows for scalable implementation, making it adaptable to the evolving needs and capacity growth of the organization. This flexibility ensures that as the organization's requirements expand, the system can grow alongside them, maintaining efficiency and effectiveness.

Historian is a software solution designed for the comprehensive and ongoing tracking of various metrics. It utilizes an InfluxDB time-series database to facilitate long-term monitoring applications seamlessly. You can oversee data related to vibration, temperature, inclination, strain, pressure, and more, using either a self-hosted setup or a completely managed cloud service. The system is compatible with the standard OPC UA protocol, ensuring efficient data access and enabling integration with DewesoftX data acquisition software, SCADAs, ERPs, or any other OPC UA-enabled clients. The data is securely housed within a cutting-edge open-source InfluxDB database, which is crafted by InfluxData and written in Go, allowing for rapid and high-availability storage and retrieval of time series data relevant to operational monitoring, application metrics, IoT sensor data, and real-time analytics. Users can choose to install the Historian service either locally on the measurement unit or within their local intranet, or opt for a fully managed cloud service tailored to their needs. This flexibility makes Historian a versatile choice for organizations looking to enhance their data monitoring capabilities.

At the core of our innovative approach lies in-data computing, a cutting-edge technology aimed at efficiently processing substantial volumes of data. Our leading product, BigObject, is a prime example of this technology; it is a time series database purposefully created to enable rapid storage and management of vast data sets. Leveraging in-data computing, BigObject has the capability to swiftly and continuously address diverse data streams without interruption. This time series database excels in both high-speed storage and data analysis, showcasing remarkable performance alongside robust complex query functionalities. By transitioning from a traditional relational data structure to a time-series model, it harnesses in-data computing to enhance overall database efficiency. The foundation of our technology is an abstract model, wherein all data resides within an infinite and persistent memory space, facilitating seamless storage and computation. This unique architecture not only optimizes performance but also paves the way for future advancements in data processing capabilities.

Unlock the full potential of your enterprise's time-series data with the dataPARC Historian. This solution elevates data management, facilitating smooth and secure data flow across your organization. Its design ensures easy integration with AI, ML, and cloud technologies, paving the way for innovative adaptability and deeper insights. Rapid access to data, advanced manufacturing intelligence, and scalability make dataPARC Historian the optimal choice for businesses striving for excellence in their operations. It's not just about storing data; it's about transforming data into actionable insights with speed and precision. The dataPARC Historian stands out as more than just a repository for data. It empowers enterprises with the agility to use time-series data more effectively, ensuring decisions are informed and impactful, backed by a platform known for its reliability and ease of use.

Analyzing time-series data is crucial for the daily functions of numerous businesses. Common applications involve assessing consumer foot traffic and conversion rates for retailers, identifying anomalies in data, discovering real-time correlations within sensor information, and producing accurate recommendations. With the Cloud Inference API Alpha, businesses can derive real-time insights from their time-series datasets that they input. This tool provides comprehensive details about API query results, including the various groups of events analyzed, the total number of event groups, and the baseline probability associated with each event returned. It enables real-time streaming of data, facilitating the computation of correlations as events occur. Leveraging Google Cloud’s robust infrastructure and a comprehensive security strategy that has been fine-tuned over 15 years through various consumer applications ensures reliability. The Cloud Inference API is seamlessly integrated with Google Cloud Storage services, enhancing its functionality and user experience. This integration allows for more efficient data handling and analysis, positioning businesses to make informed decisions faster.

The platform equips you with the necessary tools to reveal the causal relationships behind your marketing initiatives without relying on user-level data. When your advertising efforts are continuous, your measurement should be equally persistent. It helps you pinpoint the incremental gains across various digital advertising channels, television, and influencer marketing. You can also identify bid adjustments that do not result in increased traffic. Additionally, it highlights marketing efforts that may be detracting from your organic user base or competing with your paid marketing strategies. INCRMNTAL is designed to serve marketers efficiently, ensuring that the burden of effort does not fall on them. Our platform harnesses marketing data to facilitate continuous evaluations while campaigns and channels operate seamlessly. Unlike traditional incrementality measurement methods that necessitate halting campaigns in certain regions or establishing control groups, our platform functions without requiring you to alter your strategies to determine whether your activities yield incremental results. This innovative approach allows for a more fluid and dynamic understanding of marketing effectiveness.

R is a comprehensive environment and programming language tailored for statistical analysis and graphical representation. As a part of the GNU project, it shares similarities with the S language, which was originally designed by John Chambers and his team at Bell Laboratories, now known as Lucent Technologies. Essentially, R serves as an alternative implementation of S, and while there are notable distinctions between the two, a significant amount of S code can be executed in R without modification. This versatile language offers a broad spectrum of statistical methods, including both linear and nonlinear modeling, classical statistical tests, time-series analytics, classification, and clustering, among others, and it boasts a high level of extensibility. The S language is frequently utilized in research focused on statistical methodologies, and R presents an Open Source avenue for engaging in this field. Moreover, one of R's key advantages lies in its capability to generate high-quality publication-ready graphics, facilitating the inclusion of mathematical symbols and formulas as needed, which enhances its usability for researchers and analysts alike. Ultimately, R continues to be a powerful tool for those seeking to explore and visualize data effectively.

DataLux is an innovative platform designed for effective data management and analytics, specifically created to tackle various data-related issues while facilitating real-time decision-making. Equipped with user-friendly plug-and-play adaptors, it enables the aggregation of extensive data collections and offers the capability to collect and visualize insights instantaneously. Utilize the data lake to anticipate and drive new innovations, while ensuring that data is stored in a manner conducive to modeling. The platform allows for the development of portable applications by leveraging containerization, whether in a public cloud, private cloud, or on-premise environment. It seamlessly integrates diverse time-series market data and inferred information, including stock exchange tick data, market policy actions, relevant cross-industry news, and alternative datasets, to derive causal insights regarding stock markets and macroeconomic factors. By providing valuable insights, DataLux empowers businesses to shape their decisions and foster product innovations effectively. Additionally, it supports interdisciplinary A/B testing throughout the product development lifecycle, from initial ideation to final decision-making, ensuring a comprehensive approach to enhancing design and engineering processes.

DataGen delivers cutting-edge AI synthetic data and generative AI solutions designed to accelerate machine learning initiatives with privacy-compliant training data. Their core platform, SynthEngyne, enables the creation of custom datasets in multiple formats—text, images, tabular, and time-series—with fast, scalable real-time processing. The platform emphasizes data quality through rigorous validation and deduplication, ensuring reliable training inputs. Beyond synthetic data, DataGen offers end-to-end AI development services including full-stack model deployment, custom fine-tuning aligned with business goals, and advanced intelligent automation systems to streamline complex workflows. Flexible subscription plans range from a free tier for small projects to pro and enterprise tiers that include API access, priority support, and unlimited data spaces. DataGen’s synthetic data benefits sectors such as healthcare, automotive, finance, and retail by enabling safer, compliant, and efficient AI model training. Their platform supports domain-specific custom dataset creation while maintaining strict confidentiality. DataGen combines innovation, reliability, and scalability to help businesses maximize the impact of AI.

VictoriaMetrics Anomaly Detection, a service which continuously scans data stored in VictoriaMetrics to detect unexpected changes in real-time, is a service for detecting anomalies in data patterns. It does this by using user-configurable models of machine learning. VictoriaMetrics Anomaly Detection is a key tool in the dynamic and complex world system monitoring. It is part of our Enterprise offering. It empowers SREs, DevOps and other teams by automating the complex task of identifying anomalous behavior in time series data. It goes beyond threshold-based alerting by utilizing machine learning to detect anomalies, minimize false positives and reduce alert fatigue. The use of unified anomaly scores and simplified alerting mechanisms allows teams to identify and address potential issues quicker, ensuring system reliability.

To enhance a process effectively, the initial requirement is a thorough understanding of it. Bloomfilter leverages process mining to scrutinize time-series data from your entire infrastructure, constructing a tailored model of your software development workflow and assisting in its optimization. It provides insights into the cost distribution across building, running, and maintaining software. While the art and science of software development coexist, teams that utilize data-driven methodologies tend to release products more frequently and foster quicker innovation. Convert sprints and story points into monetary values to gain a clearer perspective. Identify breakdowns within your process and receive recommendations for improvement. Enhance predictability during work scoping and improve estimations for the delivery of new features. Additionally, receive unbiased evaluations of your development practices articulated in comprehensible terms for all stakeholders involved. This comprehensive approach drives continuous improvement and aligns the team towards common goals.

Aquatic Informatics offers innovative software solutions tailored to meet the essential challenges of water data management, analytics, and regulatory compliance within the expanding water sector. Our integrated data management systems facilitate the comprehensive handling of water-related information, from precipitation to sewage discharge, ensuring the protection of public health and minimizing ecological footprints. The AQUARIUS software suite provides a robust platform for real-time acquisition, processing, modeling, and dissemination of water data, empowering organizations to maintain precise, reliable, and justifiable information on water resources. Included in the AQUARIUS suite are: - AQUARIUS Time-Series for the collection of reliable water data with efficiency and accuracy. - AQUARIUS Samples for streamlined management of water sample collections. - AQUARIUS WebPortal for the online dissemination of real-time water data. - AQUARIUS Forecast for simplifying complex modeling workflows. - AQUARIUS EnviroSCADA for the immediate acquisition of water data. - AQUARIUS Cloud, which delivers the full capabilities of AQUARIUS in a software-as-a-service format. This comprehensive range of tools enables agencies to enhance their water management practices significantly.

Narrator represents a groundbreaking method for handling data, providing answers to any inquiry without the need for creating new models or modifying SQL. While other data companies focus on assisting with the development and management of models and tables, we completely eliminate that requirement. Narrator simplifies the process by modeling each business concept once, utilizing any source data in your warehouse, all organized within a single time-series table. Constructing each model takes only five minutes, and once established, it remains valid for answering new questions without necessitating additional adjustments. This means that new inquiries or metrics can be addressed without any further data preparation. Every business concept can be queried, analyzed, visualized, and interconnected seamlessly, all without SQL, leveraging any data available in your warehouse. At Narrator, we prioritize security, integrating it into every step of our development process rather than treating it as an afterthought. By fostering an environment where your team feels encouraged to pose an endless array of follow-up questions, we cultivate a culture that stimulates curiosity and empowers the business to explore, adapt, and innovate continuously. This approach not only enhances data accessibility but also drives collaborative growth across all departments.

sMMMart AI represents a cutting-edge tool for optimizing marketing strategies, hosted on the Google Cloud Platform, which utilizes continuous Bayesian modeling to produce outcomes as frequently as every week. This innovative system automates the process of data ingestion through exclusive connectors and employs the lightweight_mmm library for comprehensive multi-level marketing mix modeling, while presenting insights through Looker Studio. In contrast to conventional modeling techniques, sMMMart AI evaluates contributions throughout the entire marketing funnel across various campaigns and channels, including aspects like media expenditure, pricing strategies, promotional activities, and seasonal trends. By incorporating Bayesian methods, it enhances the accuracy of its predictions and enables scenario planning to visualize potential budget distributions and their projected effects. Furthermore, it adapts to changing data privacy laws by relying on aggregate econometric models instead of tracking individual users, thus providing marketing teams the ability to transcend last-click attribution. This approach reveals the synergies between different channels, assesses the impact of creative tactics at a granular level, and facilitates strategic enhancements across the broader marketing landscape, ultimately empowering teams to make more informed decisions.

KDB.AI serves as a robust knowledge-centric vector database and search engine, enabling developers to create applications that are scalable, dependable, and operate in real-time by offering sophisticated search, recommendation, and personalization features tailored for AI needs. Vector databases represent an innovative approach to data management, particularly suited for generative AI, IoT, and time-series applications, highlighting their significance, distinctive characteristics, operational mechanisms, emerging use cases, and guidance on how to begin utilizing them effectively. Additionally, understanding these elements can help organizations harness the full potential of modern data solutions.

Proficy Historian stands out as a premier historian software solution designed to gather industrial time-series and A&E data at remarkable speeds, ensuring secure and efficient storage, distribution, and rapid access for analysis, ultimately enhancing business value. With a wealth of experience and a track record of thousands of successful implementations globally, Proficy Historian transforms how organizations operate and compete by making critical data accessible for analyzing asset and process performance. The latest version of Proficy Historian offers improved usability, configurability, and maintainability thanks to significant advancements in its architecture. Users can leverage the solution's powerful yet straightforward features to derive new insights from their equipment, process data, and business strategies. Additionally, the remote collector management feature enhances user experience, while horizontal scalability facilitates comprehensive data visibility across the enterprise, making it an essential tool for modern businesses. By adopting Proficy Historian, companies can unlock untapped potential and drive operational excellence.

Altair Panopticon Streaming Analytics allows engineers and business users to create, modify, and deploy advanced event processing and data visualization apps with a drag and drop interface. They can connect to any data source, including streaming feeds and time-series database, and develop stream processing programs. They can also design visual user interfaces to give them the perspective they need to make informed decisions based upon large amounts of rapidly changing data.

OpenTSDB comprises a Time Series Daemon (TSD) along with a suite of command line tools. Users primarily engage with OpenTSDB by operating one or more independent TSDs, as there is no centralized master or shared state, allowing for the scalability to run multiple TSDs as necessary to meet varying loads. Each TSD utilizes HBase, an open-source database, or the hosted Google Bigtable service for the storage and retrieval of time-series data. The schema designed for the data is highly efficient, enabling rapid aggregations of similar time series while minimizing storage requirements. Users interact with the TSD without needing direct access to the underlying storage system. Communication with the TSD can be accomplished through a straightforward telnet-style protocol, an HTTP API, or a user-friendly built-in graphical interface. To begin utilizing OpenTSDB, the initial task is to send time series data to the TSDs, and there are various tools available to facilitate the import of data from different sources into OpenTSDB. Overall, OpenTSDB's design emphasizes flexibility and efficiency for time series data management.

Cloudera Data Warehouse is a cloud-native, self-service analytics platform designed to empower IT departments to quickly provide query functionalities to BI analysts, allowing users to transition from no query capabilities to active querying within minutes. It accommodates all forms of data, including structured, semi-structured, unstructured, real-time, and batch data, and it scales efficiently from gigabytes to petabytes based on demand. This solution is seamlessly integrated with various services, including streaming, data engineering, and AI, while maintaining a cohesive framework for security, governance, and metadata across private, public, or hybrid cloud environments. Each virtual warehouse, whether a data warehouse or mart, is autonomously configured and optimized, ensuring that different workloads remain independent and do not disrupt one another. Cloudera utilizes a range of open-source engines, such as Hive, Impala, Kudu, and Druid, along with tools like Hue, to facilitate diverse analytical tasks, which span from creating dashboards and conducting operational analytics to engaging in research and exploration of extensive event or time-series data. This comprehensive approach not only enhances data accessibility but also significantly improves the efficiency of data analysis across various sectors.

With eagle.io, transform your data into actionable insights eagle.io is a tool for system integrators and consultants. It helps you transform time-series data into actionable intelligence. You can instantly acquire data from any text file or data logger, transform it automatically using processing and logic, get alerts for important events, and share your access with clients. Some of the largest companies in the world trust eagle.io to help them understand their natural resources and environmental conditions in real-time.

Openwind, created by UL Solutions, is an innovative software designed for wind farm design and optimization that plays a crucial role in every stage of a wind project's development, helping to devise ideal turbine arrangements that enhance energy output while reducing losses and managing development costs effectively for overall project efficiency. This software empowers users to strategically optimize turbine placements and layouts to drive down energy costs by taking into account various elements such as energy generation, operational and maintenance expenses, and the financial implications of turbine and plant development. Openwind features state-of-the-art wake models, such as the Deep Array Wake Model (DAWM), which effectively analyzes the dynamic interplay between turbines and the atmospheric boundary layer, enabling adjustments to wakes based on varying turbulence intensity and stability conditions. Additionally, the platform provides time-series energy capture analysis that offers granular insights into energy production patterns over time, ensuring comprehensive project evaluation and planning. By leveraging these advanced capabilities, Openwind supports users in making informed decisions that ultimately lead to more efficient and sustainable wind energy projects.