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Rivery is an intuitive data pipeline tool to consolidate all your data from both internal and external sources into a single data integration platform in the cloud. This will help your team automate any ETL process, whether you need ETL to Redshift, BigQuery, Azure, or Snowflake. Rivery Rivery is an intuitive data pipeline tool to consolidate all your data from both internal and external sources into a single data integration platform in the cloud. This will help your team automate any ETL process, whether you need ETL to Redshift, BigQuery, Azure, or Snowflake. All Your Data Under One Roof Rivery is a code-free flexible platform that allows business intelligence and data teams to focus on insights and actions, while we maintain your data pipelines. Whether you’re looking for big data ingestion, integration, or data automation tools, Rivery enables teams to aggregate, transform and manage their data systems in the cloud. Used by leading data-driven companies Making Your Data Work For You Simplicity Our out-the-box, coding-free, solution simplifies the process of aggregating and managing your data so you can focus on the insights that matter. Any source, Any Size Rivery enables you to consolidate all your data sources under one roof, whether they are internal or from third party platforms. Rivery’s auto scalable platform is capable of Managing any number of data sources and data volumes. Cost The data integration software is a fully managed out of the box solution, abolishing the high costs associated with building and maintaining a data pipeline. Share In Seconds Consolidating your data sources used to take weeks or even months. Rivery lets you add, update and aggregate data sources to your pipeline in minutes. Get started for free! Visit Rivery Website

Dataiku provides a unified platform to democratize AI for everyone. From business analysts to data scientists, collaborate seamlessly on all stages of your data and AI projects The Leading Platform for Everyday AI Dataiku: Streamline Your AI Journey Let's Talk! All-in-one data science and machine-learning platform Dataiku provides a unified platform to democratize AI for everyone. From business analysts to data scientists, collaborate seamlessly on all stages of your data and AI projects Generative AI Data Preparation Visualization Machine Learning DataOps MLOps Analytics Apps A Single Platform For Designed To Scale Collaboration Governance Explainability Arcitcture Security Extensibility Transformative Business Impact Data Preparation Connect, clean, and prepare data from any source with Model Building Craft and train diverse AI models visually or with code Deployment & Management Deploy models to production and monitor performance efficiently Collaboration Break down silos and enable teamwork across all roles Governance Ensure responsible and secure data usage with built-in tools Used by leading data-driven companies Get started for free! Visit Dataiku Website

As an Analytics Project Manager, you will have the chance to lead both professionally and personally a team of data engineers and BI developers while delivering projects and services to our clients. This role includes performing duties related to business and technical development, project management, account (client) management, business development, and a strong focus on people management.  ANALYTICS PROJECT MANAGER Full Time Since 2008, Vision.bi has been delivering innovative data solutions that change the way companies treat their data. During these years, our data engineering experts have delivered hundreds of high-standard, large-scale analytics projects to more than 200 startups and enterprise organizations. As an Analytics Project Manager, you will have the chance to lead both professionally and personally a team of data engineers and BI developers while delivering projects and services to our clients. This role includes performing duties related to business and technical development, project management, account (client) management, business development, and a strong focus on people management. Management responsibilities include oversight of 3-5 team members, conducting one-on-one meetings, participating in the employee review process, and supporting the team throughout the life cycle of projects. Account management and business development within their assigned accounts will be a key aspect of an Analytics Project Manager role. Technical Management The Analytics Project Manager is in charge of the quality of delivery. This entails conducting design & code reviews, managing the quality assurance plan, unit testing & stress testing solutions, deployment, and handover to clients. The PM is responsible to have detailed knowledge of the client’s operational model and design the right solution in accordance to client needs. The PM is the champion of the solution within the client, being able to challenge the client when appropriate on technical aspects of the project and propose new ways of working based on industry knowledge, best practices and qualified experience. Project Management Maintaining timelines, sprints, resources, budget, and risks for projects and communicating it to both the client and Vision.bi leadership. In the delivery stage, the PM will manage all aspects of the project as a PMO-style leader but may also serve as Lead Developer on smaller projects. People Management Conduct one-on-one meetings with direct reports at a minimum of once a month, more frequently is recommended, especially for recent analysts. Conduct performance evaluations as necessary for team members on projects . Guide team members with personal goals, off-line team development tasks, and help team members achieve personal growth. What qualifications should you have? B.Sc degree in Computer Science, Industrial Engineering ,Information Systems or an equivalent background. At least 2-3 years of hands-on experience, working as a data engineer or BI developer (developing data pipelines and ETL processes). Strong SQL skills and RDBMS modelling Tech lead or project management experience in previous role Strong familiarity with project management software tools, methodologies, and best practices Proven ability to complete projects according to outlined scope, budget, and timeline -Fluent Hebrew and English speaking, writing & reading is required -The position is located in Tel Aviv APPLY FOR TIS POSITION APPLY FOR THIS POSITION

Data warehousing technologies have advanced dramatically in recent years. These offerings have shifted from basic data integration and processing systems to advanced analytical systems of processed data that deliver deep company insights. Data Warehouse Data warehousing technologies have advanced dramatically in recent years. These offerings have shifted from basic data integration and processing systems to advanced analytical systems of processed data that deliver deep company insights. Much of the processing takes place in the Data Lake and the data warehouse becomes an “information consumer” like many other applications that use the Data Lake. However, the importance of the data warehouse is not lost or diminished, it is still where business specific processes and modeling occurs. It is positioned as the company’s informational center and “single source of truth”. Internal Data Data Lake Data Warehouse Entity Profile Reports & Dashboards THE CHALLENGE As one of the leading companies in the field of data warehouse construction over the last decade we have addressed many of the challenges associated with these processes. The technological challenges in dynamic information processing as well as intelligent data modeling can be addressed in a way that provides answers to a wide range of business questions. However, like many situations in BI, the biggest challenge is proper alignment of business needs to the appropriate technological solution. Solving for each unique business challenge is a simple task, but implementing a comprehensive solution while communicating successfully between the teams that have worked to establish a successful data warehouse is a more significant challenge WHY US ? We have conducted over 150 different data warehousing, self-service system, OEM system and data lake projects for various information platforms. We bring rich technological experience and experts who understand how to translate a business’ needs into the appropriate technological systems. Want to learn more? Contact Us

Every company strives to put the customer at the center of their focus, it’s crucial for lasting success. In order to do this well it’s important to be able to paint an accurate image of each client. The “customer at the center” approach is designed to increase customer satisfaction, resulting in a greater amount of customers over time. Entity Profile Every company strives to put the customer at the center of their focus, it’s crucial for lasting success. In order to do this well it’s important to be able to paint an accurate image of each client. The “customer at the center” approach is designed to increase customer satisfaction, resulting in a greater amount of customers over time. Internal Data Data Lake Data Warehouse Entity Profile Reports & Dashboards THE CHALLENGE Creating an accurate client image is difficult because it involves consolidating all accessible customer data from every available source into one package while also requiring efficient data storage technology to manage the collected data. WHY US ? Vision.bi has considerable experience in leading in large enterprise organizations, all while developing agile and rapid product releases that are capable of keeping pace with a dynamic business environment. The complete solution that vision.bi provides can include a wide range of professional services: a UI / UX department for user interface screen designs, UI developers for integration into existing operational systems, architects for project planning, and a choice of technologies and project managers to connect the process to the business side. Want to learn more? Contact Us

Finance directors and other top management require constant reporting on their business’ efficiency and efficacy. In order to be successful they need to identify areas of underperformance, as well as potential problems, and use the available information to develop strategies that address these challenges and minimize the negative impact. Finance & Management Visualize and keep track of key financial metrics THE BUSINESS CHALLENGE THE BUSINESS CHALLENGE Finance directors and other top management require constant reporting on their business’ efficiency and efficacy. In order to be successful they need to identify areas of underperformance, as well as potential problems, and use the available information to develop strategies that address these challenges and minimize the negative impact. Finance Management Dashboard Our finance management dashboard provides executives with a full view of their company’s financial KPIs. We help finance directors gauge company performance by implementing P&L, Budget vs. Actual, Cashflow Monitoring, Financial Reconciliation and other financial models. For non-financial focused management, we have developed a solution that provides an interdepartmental overview that integrates Marketing, Sales, CS, Product, R&D, and Financial data. This way top management can work together to ensure they are on track to achieving both their short-term and long-term goals. Want to learn more? Contact Us SUCCESS STORIES

An interdisciplinary field of scientific methods, processes, algorithms, and systems, data science is used to extract insights from data in various forms. Using data science opens the door to a whole new world of knowledge about your business and customers and can add immense value to existing business models and practices. Data Science An interdisciplinary field of scientific methods, processes, algorithms, and systems, data science is used to extract insights from data in various forms. Using data science opens the door to a whole new world of knowledge about your business and customers and can add immense value to existing business models and practices. Internal Data Data Lake Data Warehouse Entity Profile Reports & Dashboards THE CHALLENGE Data science has become powerful component in the business world but it still comes with its own caveats. First, a business has to make sure that the data they’re using is actual quality data. Making decisions based off non-quality data is a surefire way to negatively impact business. The second is finding a way to effectively deal with the often huge amount of data collected. Businesses are collecting more and more data but in order to extract value from it the data needs to be well organized and accessible. All too often valuable data is lost because of poor data management. Vision.bi has the expertise to handle the difficult parts of data science. We have developed in-house software to both organize (Rivery) and ensure the quality of data (Quilliup). With this refined data we can help businesses achieve their goals, all on a personalized basis. From credit risk assessment to data driven marketing, Vision.bi excels at extracting value from data and turning it into insight. Want to learn more? Contact Us WHY US ?

Since 2008 we have been delivering numerous high-standard and large-scale analytics’ projects for more than 200 customers, startups and enterprises alike. SATISFIED CUSTOMERS Since 2008 we have been delivering numerous high-standard and large-scale analytics’ projects for more than 200 customers, startups and enterprises alike. SaaS B2B 1/1 B2C 1/1 Finance 1/1 IOT 1/1 Digital Marketing 1/1 Software 1/1 Industry 1/1

In order for pharmaceutical companies to be successful and responsible it is imperative to practice pharmacovigilance (PhV), an essential practice that helps prevent the sale of drugs that cause adverse effects. Practicing PhV on a large scale becomes more difficult as it involves increasingly large amounts of data that needs to be collected and analyzed throughout the entire drug development cycle. PhV Operational Safety Practice pharmacovigilance in a refined and straightforward manner THE BUSINESS CHALLENGE THE BUSINESS CHALLENGE In order for pharmaceutical companies to be successful and responsible it is imperative to practice pharmacovigilance (PhV), an essential practice that helps prevent the sale of drugs that cause adverse effects. Practicing PhV on a large scale becomes more difficult as it involves increasingly large amounts of data that needs to be collected and analyzed throughout the entire drug development cycle. PhV Safety Dashboard To aid with this process we have developed a solution that provides information about the adverse events processing status. It also generates volume and trends for general management overview. The PhV safety dashboard presents the overall status of all open cases and its workflow performance worldwide and includes different KPIs for measuring monthly activity by country or specific product. Want to learn more? Contact Us SUCCESS STORIES

Vision.bi is committed to protecting your privacy. This Privacy Policy outlines how we collect, use, disclose, and safeguard your personal information.    Privacy Policy Your Privacy Matters Vision.bi is committed to protecting your privacy. This Privacy Policy outlines how we collect, use, disclose, and safeguard your personal information. Information We Collect We may collect the following types of information: Personal Information: Name, email address, phone number, and other contact details. Usage Data: Information about how you interact with our website, such as your IP address, browser type, and pages visited. Payment Information: Credit card or other payment information when making purchases. How We Use Your Information We may use your personal information for the following purposes: To process your orders and fulfill your requests. To provide customer support and address inquiries. To improve our website and services. To send you marketing communications, such as newsletters and promotions. To comply with legal obligations. Sharing Your Information We may share your personal information with the following third parties: Service Providers: We may share your information with third-party service providers who assist us in operating our business, such as payment processors, shipping carriers, and email marketing platforms. Legal Requirements: We may disclose your information to comply with legal obligations, such as responding to court orders or government requests. Data Security We implement reasonable security measures to protect your personal information from unauthorized access, use, or disclosure. However, no method of transmission over the internet or electronic storage is completely secure. Your Rights You have the right to: Access: Access and review your personal information. Correction: Correct any inaccuracies in your personal information. Erasure: Request the deletion of your personal information. Restriction: Restrict the processing of your personal information. Data Portability: Receive your personal information in a portable format. Object: Object to the processing of your personal information. Changes to This Privacy Policy We may update this Privacy Policy from time to time. We will notify you of any material changes by posting the updated Privacy Policy on our website. Please review this Privacy Policy periodically to stay informed about how we are protecting your information. Contact us If you have any questions or concerns regarding our Privacy Policy. Contact Us

We are passionate data engineers and software developers who change the way organizations treat data. Since 2008 we have been delivering numerous high-standard and large-scale analytics’ projects for more than 200 customers, startups and enterprises alike. OUR STORY We are passionate data engineers and software developers who change the way organizations treat data. Since 2008 we have been delivering numerous high-standard and large-scale analytics’ projects for more than 200 customers, startups and enterprises alike. Apart from delivering agile and tailor-made solutions for our customers, we have decided it’s not enough and several years ago became a software house too, developing platforms in the fields of data quality (quilliup) and cloud data integration (Rivery). This in itself helped us to provide even better projects, as we combine our professional services’ skills with R&D methodologies, UI&UX expertise and advanced programming. Need we say more? Okay then. We have been listening to our customers’ needs and even decided to establish a data science unit, delivering innovative projects through advanced models and programming languages. We are going place, join us. OUR MISSION Our mission is to enable companies to treat data like “GOLD” and to provide comprehensive and advanced data services. We serve as an acceleration factor for companies by helping them leverage their data to make informed, data driven decisions and create better products that deliver greater value to their customers. Started in A team of over Collaborating with By four ambit ious founders 2007 Software Engineers 50 Compa nies & Startups 300 OUR TEAM llan Zaitoun Co- Founder & CTO Sigal Lavid Co- Founder & CEO Dganit Lebedev VP Delivery Yaara Bronheim HRBP