Business Software for Google Cloud BigQuery

Access customer information seamlessly from your app database, data warehouses, spreadsheets, or various APIs without the need for coding. Experience a real-time overview of essential customer data directly within platforms like Salesforce, Marketo, HubSpot, and other business systems. Effortlessly consolidate data from multiple sources—be it databases, data warehouses, spreadsheets, or APIs—automatically. You can select specific fields for synchronization, ensuring you receive only the most relevant data. With just a click, integrate your preferred tools into the workflow. Utilize a simple point-and-click interface to transfer necessary data from your databases and spreadsheets to your business applications. This setup empowers your customer success and sales teams by providing them with a comprehensive view of customer data directly within their sales CRM. Benefit from automatic synchronization of information across data warehouses and databases to all your business systems and spreadsheets. Additionally, enjoy the convenience of having all proprietary user and company attributes automatically updated in your CRM. Your support team will also gain immediate access to the vital customer data they require directly from their support system, enhancing overall efficiency and collaboration.

Zephr is an innovative Subscription Experience Platform designed to enhance and customize user interactions, ultimately boosting conversion rates. We enable both commercial and technical teams to craft individualized experiences that foster enduring subscription relationships. While traditional subscription management platforms tend to prioritize post-acquisition strategies, they often neglect the crucial pre-acquisition phase, relying instead on outdated marketing techniques. Such conventional methods lack the adaptability, targeted personalization, and bespoke experiences that modern consumers demand. In today's market, businesses must abandon the one-size-fits-all model for digital subscriptions, as customers increasingly desire tailored experiences that evolve with their needs at every stage of their journey. The landscape of digital subscriptions is complex, encompassing a variety of user states that require thoughtful engagement. By recognizing and addressing these distinct stages, companies can better align their offerings with customer expectations.

Effortlessly consolidate diverse data on a large scale with precision and dependability using Switchboard, a data engineering automation platform tailored for business teams. Gain access to timely insights and reliable forecasts without the hassle of outdated manual reports or unreliable pivot tables that fail to grow with your needs. In a no-code environment, you can directly extract and reshape data sources into the necessary formats, significantly decreasing your reliance on engineering resources. With automatic monitoring and backfilling, issues like API outages, faulty schemas, and absent data become relics of the past. This platform isn't just a basic API; it's a comprehensive ecosystem filled with adaptable pre-built connectors that actively convert raw data into a valuable strategic asset. Our expert team, comprised of individuals with experience in data teams at prestigious companies like Google and Facebook, has streamlined these best practices to enhance your data capabilities. With a data engineering automation platform designed to support authoring and workflow processes that can efficiently manage terabytes of data, you can elevate your organization's data handling to new heights. By embracing this innovative solution, your business can truly harness the power of data to drive informed decisions and foster growth.

Theom is an advanced cloud data security solution designed to uncover and safeguard all types of data found in cloud storage, APIs, and message queues. Much like a vigilant bodyguard dedicated to protecting valuable assets, Theom ensures that security measures are consistently applied to data, regardless of its storage or access method. By utilizing agentless scanning and natural language processing classifiers, Theom effectively identifies personally identifiable information (PII), protected health information (PHI), financial data, and trade secrets, while accommodating customized taxonomies. Additionally, it reveals dark data—information that remains unused—and shadow data, which has a different security posture compared to its primary version. Theom excels in locating sensitive information, such as developer keys, within APIs and message queues. To assist organizations in prioritizing threats, Theom also assesses the financial impact of data. Furthermore, it maps the intricate relationships between datasets, access identities, and their associated security features, thereby revealing potential vulnerabilities. By illustrating how valuable data is accessed by different identities, such as users and roles, Theom provides a comprehensive view of security attributes, including user location and unusual access patterns. This holistic approach empowers organizations to make informed decisions about their data security strategies.

You can unify your data catalog, reduce communication overhead, and enable quality control for any employee of your company without having to deploy or install anything. Rudol is a data platform that helps companies understand all data sources, regardless of where they are from. It reduces communication in reporting processes and urgencies and allows data quality diagnosis and issue prevention for all company members. Each organization can add data sources from rudol's growing list of providers and BI tools that have a standardized structure. This includes MySQL, PostgreSQL. Redshift. Snowflake. Kafka. S3*. BigQuery*. MongoDB*. Tableau*. PowerBI*. Looker* (*in development). No matter where the data comes from, anyone can easily understand where it is stored, read its documentation, and contact data owners via our integrations.

Achieve seamless and secure access to your cloud infrastructure without the need for passwords. Experience passwordless authentication for major cloud platforms and a multitude of cloud resources, as we integrate smoothly with AWS, GCP, Azure, and various other cloud-native tools. Prevent overprivileged access by implementing just-in-time access specifically for developers. DevOps professionals can easily request access to cloud resources with a 'just enough privileges' approach, ensuring they have time-limited permissions. This setup helps to eliminate the productivity issues that arise from relying on a centralized administrator. You can configure approval policies tailored to different criteria, and you'll have the ability to view a comprehensive catalog of both granted and unaccessed resources. Mitigate the risks of credential sprawl and the anxiety surrounding credential theft. Developers are empowered to gain passwordless access to cloud resources using advanced Trusted Platform Module (TPM) technology. Additionally, you can uncover potential vulnerabilities today with our complimentary assessment tool, gaining insights into how Procyon can effectively address these issues in a matter of hours. By leveraging TPM, you can ensure strong identification of both users and their devices, thus enhancing overall security. This innovative approach not only streamlines access but also fortifies your cloud security posture significantly.

QueryPie serves as a unified platform that consolidates diverse data sources and security protocols into a single interface. Accelerate your company's journey toward achievement without altering your current data infrastructure. In an era driven by data, effective data governance has become essential. Make certain that you adhere to data governance regulations while simultaneously granting multiple users access to an increasing volume of essential data. Formulate data access policies by incorporating crucial factors such as IP addresses and time of access. You can create various privilege types based on SQL commands categorized into DML, DCL, and DDL, allowing for secure data analysis and modifications. Effortlessly monitor SQL event details and analyze user behavior along with potential security threats by examining logs filtered by permissions. Furthermore, all historical data can be exported for comprehensive reporting, ensuring that you have a clear view of your data usage and security practices. This holistic approach not only enhances oversight but also supports informed decision-making for future strategies.

AI2sql enables both technical and non-technical users to effortlessly craft accurate and efficient SQL queries without prior SQL knowledge. By simply inputting a few relevant keywords about your dataset, AI2sql generates an optimized SQL query tailored to your needs, ensuring rapid performance. We're excited to share some impressive statistics on the number of users who have engaged with AI2sql and the remarkable outcomes they have achieved. To maximize your experience with AI2sql, it's crucial to articulate your objectives clearly and take advantage of the tool’s customization features, while also testing and validating the SQL generated. Additionally, experimenting with different prompts or input can yield more precise and effective SQL statements, enhancing your overall results. This versatility makes AI2sql a valuable asset for anyone looking to streamline their data querying process.

Entitle integrates a security-centric strategy for provisioning and governance while also prioritizing business facilitation across all departments, including R&D, sales, HR, and finance. Accelerate the provisioning process to enable security policies that adapt automatically to the evolving infrastructure and the varying needs of employees. Assign permissions to designated resources such as Google Drive directories, database tables, Git repositories, and more to maintain control. Protect sensitive resources and roles by allowing access only when necessary and revoking it when it is no longer needed. Empower colleagues, managers, and resource owners to authorize access requests, ensuring that the permissions granted are reliable. With automated access requests and a zero-touch provisioning approach, DevOps, IT, and other teams can significantly enhance efficiency and resource management. Users have the convenience of requesting access through platforms like Slack, Teams, Jira, or email, facilitating a smooth approval experience. Additionally, quickly grant bulk permissions to streamline the onboarding and offboarding processes, effectively adapting to the dynamics of the organization. This comprehensive approach not only safeguards data but also fosters a collaborative environment where teams can thrive.

Software for modern sales teams that automates commissions. Automate any commission plan. The easy-to-use design tool for sales incentive plans allows you to automate any sales commission structure. Welcome to the world transparent sales commission plans that are updated with real-time sync. Are you looking for custom fields in your CRM? No problem. Complex workflow with multiple logical conditions. You can walk in the park. All thanks to the intuitive sales incentive plan creator at your disposal. All the tools you use in one touch. CRMs, Invoicing, Accounting, Prospecting, Payroll, etc. A powerful commission tracking software allows you to design highly nuanced sales incentives plans. You can set up automated workflows for commission approval, tracking, and payment. They will run like clockwork. Just a few clicks and you can make any changes.

Make things easier by using AI to help you. With AI Query, anyone can make effective SQL queries, even if they don’t know anything about them. When your database setup is complete, you can simply write text prompts to create SQL queries effortlessly. Let the AI handle the hard parts for you. It's a great way to save time and effort while getting the results you need.

The Robust Intelligence Platform is designed to integrate effortlessly into your machine learning lifecycle, thereby mitigating the risk of model failures. It identifies vulnerabilities within your model, blocks erroneous data from infiltrating your AI system, and uncovers statistical issues such as data drift. Central to our testing methodology is a singular test that assesses the resilience of your model against specific types of production failures. Stress Testing performs hundreds of these evaluations to gauge the readiness of the model for production deployment. The insights gained from these tests enable the automatic configuration of a tailored AI Firewall, which safeguards the model from particular failure risks that it may face. Additionally, Continuous Testing operates during production to execute these tests, offering automated root cause analysis that is driven by the underlying factors of any test failure. By utilizing all three components of the Robust Intelligence Platform in tandem, you can maintain the integrity of your machine learning processes, ensuring optimal performance and reliability. This holistic approach not only enhances model robustness but also fosters a proactive stance in managing potential issues before they escalate.

Effortlessly extract and transform data from various sources using Natural Language, whether it's your database, CRM, or billing system. Experience a remarkable boost in productivity, enhancing it by 5-10 times, and say goodbye to the frustrations of cumbersome BI tools. With the power of Natural Language, you can swiftly query intricate data within seconds, making it easy to transition from DIY solutions to advanced, AI-driven tools. In just a few lines of code, you can create sophisticated dashboards and reports without the need for SQL or complicated formulas, as Layerup AI handles all the hard work for you. Not only does Layerup provide immediate answers to questions that would typically take 5 to 40 hours a month to resolve through SQL queries, but it also functions as your personal data analyst around the clock, delivering intricate dashboards and charts that can be seamlessly embedded anywhere. With Layerup, you unlock the potential of your data in ways that were previously unimaginable.

The platform organizes BI tools and semantic layers, documents data utilizing dbt, and incorporates OpenAI and language models to facilitate self-service advanced analytics. Through TextQL, users without a technical background can effortlessly interact with data by posing queries within their familiar work environments (such as Slack, Teams, or email) and receive prompt and secure automated responses. Additionally, the platform employs NLP and semantic layers, including the dbt Labs semantic layer, to deliver sensible solutions. TextQL enhances the question-to-answer workflow by seamlessly transitioning to human analysts when necessary, significantly streamlining the entire process with AI assistance. At TextQL, we are dedicated to enabling business teams to find the data they need in under a minute. To achieve this goal, we assist data teams in uncovering and creating documentation for their datasets, ensuring that business teams can rely on the accuracy and timeliness of their reports. Ultimately, our commitment to user-friendly data access transforms the way organizations utilize their information resources.

Collaborate effectively to pinpoint obstacles and make decisive choices that lead to the realization of your objectives. Seamlessly integrate your revenue, sales targets, marketing strategies, financial plans, and recruitment efforts without any mistakes. Employ straightforward business language formulas to calculate shared metrics across various regions, market segments, and channels. Analyze actual outcomes in comparison to your plans to discern which areas of your enterprise are excelling or facing challenges. Receive anticipatory alerts regarding possible deviations from your expected figures and understand their implications. Gain a comprehensive view by synthesizing data from multiple sources for a holistic understanding. Tailor financial reports to your needs and enhance cost efficiency, revenue, and profits through superior visual representations. Achieve complete transparency in business performance by consolidating data from diverse sources—ranging from ERP and CRM systems to various databases, Excel, and CSV files. This holistic approach ensures you are always informed and ready to pivot as necessary for sustained growth.

Assisting businesses in actively overseeing their comprehensive data quality lifecycle is achieved through the implementation of contextual data quality assessments, anomaly detection, and corrective measures. By revealing anomalies and relevant metadata, teams are empowered to implement necessary corrective actions effectively. Automated remediation workflows can be initiated to swiftly and efficiently address any errors that arise. This proactive approach helps ensure superior data quality, safeguarding against inaccuracies that could undermine business decision-making. Additionally, the SLA chart offers a detailed overview of service level agreements, showcasing the total number of monitoring activities conducted and any violations encountered. Such insights can significantly aid in pinpointing specific areas of your data that may necessitate further scrutiny or enhancement. Ultimately, maintaining robust data quality is essential for driving informed business strategies and fostering growth.

Discern leverages AI to merge comprehensive business information, allowing it to analyze performance trends, identify influencing factors, and deliver impartial recommendations for optimal decision-making. By integrating, transforming, and evaluating data from a variety of sources—including key targets—Discern offers a thorough examination of overall business health, which is unparalleled in the industry. Through capabilities such as scenario modeling, revenue forecasting, and performance tracking, it empowers CXOs to visualize the repercussions of both historical and prospective initiatives with ease. Discern’s extensive suite of Revenue Intelligence tools is designed to maximize the effectiveness and performance of go-to-market strategies while simultaneously shortening the customer acquisition cost payback period. Acting as the operational hub for B2B enterprises, Discern facilitates a deeper understanding of company performance by synthesizing data from various systems and utilizing machine learning, thereby providing CXOs with rich insights and data-driven recommendations. With investors increasingly demanding that all companies prioritize data-driven decision-making, Discern positions itself as an essential partner in achieving strategic business objectives. By harnessing the power of data analytics, organizations can not only enhance their operational efficiency but also drive sustained growth in a competitive market landscape.

Aggua serves as an augmented AI platform for data fabric that empowers both data and business teams to access their information, fostering trust while providing actionable data insights, ultimately leading to more comprehensive, data-driven decision-making. Rather than being left in the dark about the intricacies of your organization's data stack, you can quickly gain clarity with just a few clicks. This platform offers insights into data costs, lineage, and documentation without disrupting your data engineer’s busy schedule. Instead of investing excessive time on identifying how a change in data type might impact your data pipelines, tables, and overall infrastructure, automated lineage allows data architects and engineers to focus on implementing changes rather than sifting through logs and DAGs. As a result, teams can work more efficiently and effectively, leading to faster project completions and improved operational outcomes.

Bid farewell to abandoned data catalogs. Acryl Cloud accelerates time-to-value by implementing Shift Left methodologies for data producers and providing an easy-to-navigate interface for data consumers. It enables the continuous monitoring of data quality incidents in real-time, automating anomaly detection to avert disruptions and facilitating swift resolutions when issues arise. With support for both push-based and pull-based metadata ingestion, Acryl Cloud simplifies maintenance, ensuring that information remains reliable, current, and authoritative. Data should be actionable and operational. Move past mere visibility and leverage automated Metadata Tests to consistently reveal data insights and identify new opportunities for enhancement. Additionally, enhance clarity and speed up resolutions with defined asset ownership, automatic detection, streamlined notifications, and temporal lineage for tracing the origins of issues while fostering a culture of proactive data management.

Restricting access to designated tables and columns is essential for ensuring both security and privacy. Tantl acts as a supportive partner, assisting you in resolving data inquiries effectively. With increased usage, it continuously improves its comprehension of your data landscape, enhancing its ability to provide relevant insights.

Astrix provides a robust solution for ensuring that your essential systems maintain secure connections to third-party cloud services by enhancing access management and threat mitigation for various elements such as API keys, OAuth tokens, and service accounts. Our agentless and straightforward deployment process allows you to identify and address risky app-to-app interactions that could lead to supply chain compromises, data leaks, and regulatory breaches. You will receive a comprehensive overview of all connections to your vital systems, including both internal and external applications, access keys, secrets, and operational workflows. Additionally, you can identify and eliminate over-privileged, unnecessary, and untrusted connections, and receive alerts if any application exhibits suspicious behavior. This proactive approach not only safeguards your infrastructure but also promotes a culture of security awareness within your organization.

We detect, eliminate, and manage shadow access, which refers to unauthorized and unmonitored access to cloud data, applications, and infrastructure, ensuring that potential attackers cannot exploit these vulnerabilities. By adopting an automated and risk-focused strategy, we revolutionize cloud Identity and Access Management (IAM) operations to secure and oversee cloud data effectively. This approach enables cloud and security teams to swiftly analyze all data access patterns, including who is accessing the data, what they are accessing, when and where it happens, along with understanding the reasoning behind the access and its implications for cloud data security. Stack Identity safeguards cloud data by emphasizing both the risks and impacts associated with identity, access, and data vulnerabilities, all of which are illustrated through our real-time data attack map. We assist in addressing various access risks—both human and API-related—while guiding identity practitioners, governance, compliance teams, and data owners toward taking decisive actions. Additionally, we furnish SecOps and DevOps teams with a clear and transparent perspective on cloud security threats, enabling them to make informed decisions regarding data protection strategies. Ultimately, our comprehensive approach not only enhances security but also fosters a proactive culture of compliance and risk management within organizations.

Gain insights into your customer base, implement effective strategies, and achieve business outcomes, all developed by Slack's inaugural growth team for your benefit. Discover new opportunities while making informed, data-driven choices. Analyze the results of experiments and key performance indicators in conjunction with your product and marketing initiatives. Effortlessly access product analytics and seamlessly reference them throughout the application. Connect with leading tools to aggregate business performance metrics. Keep your team aligned with shareable insights and foster growth through collective knowledge. Attain a comprehensive overview of ongoing projects to stay updated on live product features. Avoid conflicts in experimentation through intelligent scheduling. Enhance both efficiency and precision with integrated feature flags. Use footnotes to emphasize and communicate changes due to seasonal trends. Evaluate data in a comprehensive manner, considering seasonal trends and significant events. Assess the effects of your product releases using time series metrics, enabling a clearer understanding of their overall impact. Keep in mind that ongoing analysis helps refine future strategies for even greater success.

Organizations are increasingly focused on becoming more data-driven, implementing dashboards, analytics, and data pipelines throughout the contemporary data landscape. However, many organizations face significant challenges with data reliability, which can lead to misguided business decisions and a general mistrust in data that negatively affects their financial performance. Addressing intricate data challenges is often a labor-intensive process that requires collaboration among various teams, all of whom depend on informal knowledge to painstakingly reverse engineer complex data pipelines spanning multiple platforms in order to pinpoint root causes and assess their implications. Pantomath offers a solution as a data pipeline observability and traceability platform designed to streamline data operations. By continuously monitoring datasets and jobs within the enterprise data ecosystem, it provides essential context for complex data pipelines by generating automated cross-platform technical pipeline lineage. This automation not only enhances efficiency but also fosters greater confidence in data-driven decision-making across the organization.

Medium’s sophisticated data infrastructure and reporting systems establish a unified source of truth that aids in decision-making amidst increasing complexities. Our innovative technology for automated data movement is designed to extract, store, and transfer data to your preferred locations. Tailored specifically for omnichannel businesses, our unique data transformation process ensures high reliability. This is precisely why our data is considered the most dependable in the industry. With our pre-built data models, we enhance data reliability by simplifying processes related to data preparation, aggregation, and enrichment. Our platform effectively normalizes, aggregates, and validates your omnichannel data with precision. We possess the capability to resolve inconsistencies, check for missing data entries, supplement important information to datasets, and bring together disparate reports from multiple channels into a cohesive view that enhances overall data integrity. By leveraging these comprehensive features, businesses can navigate their data landscape with greater confidence and insight.