Best Predictive Analytics Software for Snowflake

Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application. Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less software in-house. Qrvey is built for SaaS companies that want to offer a better multi-tenant analytics experience. Qrvey's solution offers: - Built-in data lake powered by Elasticsearch - A unified data pipeline to ingest and analyze any type of data - The most embedded components - all JS, no iFrames - Fully personalizable to offer personalized experiences to users With Qrvey, you can build less software and deliver more value.

Voice and written support makes it easy to get answers. Based on your interests, history, and role, you will receive personalized and recommended results. Quaeris provides near-real-time data access for all data. Quaeris enhances your existing dashboards. To increase knowledge sharing and track performance, teams can share insights and pinboards. Ask questions in plain English. There's no need for keywords or queries. Our advanced AI engine transforms your inquiry to a database-ready language within seconds. Data is nothing without context, just like life. Our cognitive AI engine interprets search terms, interests, roles, and past history to provide ranks results that allow further exploration. You can easily add filters to search results to dig into the details and explore relevant questions.

Integrate analytics into any workflow or application to make crucial decisions - confidently. Analytics can be integrated into your everyday workflows and applications to help you make better and faster decisions for your business and customers. To make analytics easy and intuitive, integrate customized analytics into your products and applications. The AI-driven predictive analytics platform is designed to increase product adoption, retention, and engagement. Sisense, a top-rated Business Intelligence (BI), reporting software, allows you to prepare, analyze, and examine data from multiple sources. Sisense is trusted by industry-leading companies like NASDAQ, Phillips and Airbus. It offers an end to end, agile BI platform that enables businesses to make better, faster data-driven business decisions. Sisense has an open, single-stack architecture that enables machine learning, best-in class analytics engines, and delivers insights beyond the dashboard.

Founded in 2018, Pecan is a predictive analytics platform that leverages its pioneering Predictive GenAI to remove barriers to AI adoption, making predictive modeling accessible to all data and business teams. Guided by generative AI, companies can obtain precise predictions across various business domains without the need for specialized personnel. Predictive GenAI enables rapid model definition and training, while automated processes accelerate AI implementation. With Pecan's fusion of predictive and generative AI, realizing the business impact of AI is now far faster and easier.

Metacoder makes data processing faster and more efficient. Metacoder provides data analysts with the flexibility and tools they need to make data analysis easier. Metacoder automates data preparation steps like cleaning, reducing the time it takes to inspect your data before you can get up and running. It is a good company when compared to other companies. Metacoder is cheaper than similar companies and our management is actively developing based upon our valued customers' feedback. Metacoder is primarily used to support predictive analytics professionals in their work. We offer interfaces for database integrations, data cleaning, preprocessing, modeling, and display/interpretation of results. We make it easy to manage the machine learning pipeline and help organizations share their work. Soon, we will offer code-free solutions for image, audio and video as well as biomedical data.

Explorium is a data science platform that combines automatic data discovery with feature engineering. Explorium empowers data scientists and business executives to make better decisions by automatically connecting to thousands external data sources (premium and partner) and using machine learning to extract the most relevant signals. Try it for free at www.explorium.ai/free-trial

Smart DIH is a data management platform that quickly serves applications with accurate, fresh and complete data, delivering high performance, ultra-low latency, and an always-on digital experience. Smart DIH decouples APIs from SoRs, replicating critical data, and making it available using event-driven architecture. Smart DIH enables drastically shorter development cycles of new digital services, and rapidly scales to serve millions of concurrent users – no matter which IT infrastructure or cloud topologies it relies on. XAP Skyline is a distributed in-memory development platform that delivers transactional consistency, combined with extreme event-based processing and microsecond latency. The platform fuels core business solutions that rely on instantaneous data, including online trading, real-time risk management and data processing for AI and large language models.

Alteryx AI Platform will help you enter a new age of analytics. Empower your organization through automated data preparation, AI powered analytics, and accessible machine learning - all with embedded governance. Welcome to a future of data-driven decision making for every user, team and step. Empower your team with an intuitive, easy-to-use user experience that allows everyone to create analytical solutions that improve productivity and efficiency. Create an analytics culture using an end-toend cloud analytics platform. Data can be transformed into insights through self-service data preparation, machine learning and AI generated insights. Security standards and certifications are the best way to reduce risk and ensure that your data is protected. Open API standards allow you to connect with your data and applications.

Data integration for hybrid clouds Modern, reliable data integration across both your private cloud and public cloud. All this in real-time, with change data capture and streams. Striim was developed by the executive and technical team at GoldenGate Software. They have decades of experience in mission critical enterprise workloads. Striim can be deployed in your environment as a distributed platform or in the cloud. Your team can easily adjust the scaleability of Striim. Striim is fully secured with HIPAA compliance and GDPR compliance. Built from the ground up to support modern enterprise workloads, whether they are hosted in the cloud or on-premise. Drag and drop to create data flows among your sources and targets. Real-time SQL queries allow you to process, enrich, and analyze streaming data.

Akkio helps enterprise customers to understand patterns, analyze factors that influence forecasts, and make them with ease. You can easily ingest your data and use it to make a forecast that is actionable. Explore your data, analyze performance, accuracy and seasonality. Collaborate with your team. Make all aspects of growth operations more effective. Predict key business outcomes using your existing data. Here are some ways to leverage the power AI. Ranking your marketing leads based on their likelihood to convert will help you focus your efforts where the greatest chance of revenue exists. AI can be used to forecast revenue, component and commodities prices, and market growth. Predict which customers are in the most danger of leaving, so you can prevent churn from happening.

Platform for customer intelligence data that helps brands analyze user behavior across multiple channels. Analyze data quickly and accurately. AI and ML solutions can help you identify customer behavior patterns to make informed decisions. B2Metric integrates with a wide range of sources, including databases that you use most often. Optimize your retention strategy by predicting churn in customers and taking preventive action accordingly. To enable targeted marketing, categorize customers based on their characteristics, behaviors, and preferences. Optimize marketing strategies by leveraging data-driven insights. This will improve performance, target, personalization and budget. Optimizing touchpoints and tailoring your marketing efforts will help you provide unique customer experiences. AI-based marketing analytics to reduce user churn and increase growth. Advanced ML algorithms can identify customers at risk of churning and develop proactive retention strategy.

From day one, predict future value. Retina provides customer intelligence solutions that provide accurate metrics on customer lifetime value early in the customer journey. With the most accurate CLV metrics, optimize marketing budgets, increase brand equity, and drive predictable repeat revenue. Improved targeting, ad relevance and conversion rates will help you align customer acquisition around CLV. Based on your best customers, you can create lookalike audiences. Instead of focusing on demographics, focus on customer behavior. Find the attributes that make leads more likely convert. Discover the features that drive customer behavior. Design customer journeys that positively impact the lifetime value of your customers. Make changes to increase the value of your customers. Retina calculates individual customer lifetime value using a sample of customer data. This is done before you buy.

Without complex engineering, build predictive models that can never stop improving. Connect to your cloud data warehouse and get all of your data right where it is. You can share features and create state-of-the art ML models using only SQL or dbt, or extend with Python. Predictions can be stored directly in your data warehouse, making them available for your BI and other operational tools. You can maintain features and predictions directly within your data warehouse without the need for new infrastructure. Create state-of the-art models that make use of all your data, without having to write code or create pipelines. Continual's declarative engine AI engine allows you to unify analytics and AI teams. As you scale, manage features, models, policies and workflows with declarative GitOps. Accelerate model development using a shared feature store, and a data-first workflow.

Your business generates many data every day. This data can be invaluable if it is used correctly. This strategic information, when gathered together, opens up a vast array of possibilities. DigDash is a trusted partner in business intelligence. We can help you to exploit your data and improve your performance today. DigDash is there for you, from design to deployment, and all questions to development, in a close partnership. DigDash's DNA is flexible. We are committed to continuous improvement. Our software is easy to use at all levels. This software is a market leader. Our tool adapts to any business' operational vision. Your managers can make rational decisions by having real-time visibility of all your activities, including marketing, finance, sales, and HR.

All work can be synced, searched and managed across your data science team. Zepl's powerful search allows you to discover and reuse models, code, and other data. Zepl's enterprise collaboration platform allows you to query data from Snowflake or Athena and then build your models in Python. For enhanced interactions with your data, use dynamic forms and pivoting. Zepl creates new containers every time you open your notebook. This ensures that you have the same image each time your models are run. You can invite your team members to join you in a shared space, and they will be able to work together in real-time. Or they can simply leave comments on a notebook. You can share your work with fine-grained access controls. You can allow others to read, edit, run, and share your work. This will facilitate collaboration and distribution. All notebooks can be saved and versioned automatically. An easy-to-use interface allows you to name, manage, roll back, and roll back all versions. You can also export seamlessly into Github.

By connecting information across the business and applying AI, Discern analyzes trends in performance, understands contributing variables, and provides unbiased advice on the best way forward. Discern connects and transforms data from any sources, including targets, in order to provide the most comprehensive view of business health. Discern's scenario modeling, revenue projections, and performance monitoring allow CXOs see the impact of previous or future initiatives. Discern’s suite of Revenue Intelligence Tools helps optimize go-to market efforts and improve performance while reducing CAC payback periods. Discern is the operational command centre for B2B companies. Discern connects data from multiple systems, applies machine learning and helps CXOs to understand the full story of company performance. It also offers data-backed recommendations. Investors expect their companies to make data-driven decisions.

Building Machine Learning Pipelines internally can be costly and take longer than expected. Gartner's statistics show that more than 80% will fail in AI Projects. Cortex helps teams set up machine learning faster than other alternatives and puts data to work for business results. Every team can create their own AI Predictions. You no longer need to wait for a team to be hired and costly infrastructure to be built. Cortex allows you to make predictions using the data you already own, all via a simple web interface. Everyone can now be a Data Scientist! Cortex automates the process for turning raw data into Machine Learning Pipelines. This eliminates the most difficult and time-consuming aspects of AI. These predictions are accurate and always up-to-date because Cortex continuously ingests new data and updates the underlying model automatically, with no human intervention.

Open-Source AI layer for databases. Machine Learning capabilities can be integrated directly into your data domain to increase efficiency and productivity. MindsDB makes it easy to create, train, and then test ML models. Then publish them as virtual AI tables into databases. Integrate seamlessly with all major databases. SQL queries can be used to manipulate ML models. You can increase model training speed using GPU without affecting the performance of your database. Learn how the ML model arrived at its conclusions and what factors affect prediction confidence. Visual tools that allow you to analyze model performance. SQL and Python queries that return explanation insights in a single code. You can use What-if analysis to determine confidence based upon different inputs. Automate the process for applying machine learning using the state-of the-art Lightwood AutoML library. Machine Learning can be used to create custom solutions in your preferred programming language.