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For pharmaceutical companies, large projects that are spread over a few years come with enormous budgets, especially in the case of R&D Clinical Trials. The budgets associated with clinical trial projects are difficult to track since they include expenses from numerous sources and require a multi-level management system. Budget Control Simplify your budget control process THE BUSINESS CHALLENGE THE BUSINESS CHALLENGE For pharmaceutical companies, large projects that are spread over a few years come with enormous budgets, especially in the case of R&D Clinical Trials. The budgets associated with clinical trial projects are difficult to track since they include expenses from numerous sources and require a multi-level management system. It is critical to have effective cost analysis and forecast planning to ensure the lasting success of your clinical trials. This is not just limited to clinical trial projects, any large budget needs proper management. Budget Control Dashboard Our solution provides useful information to managers about the financial position, performance, and changes in a project’s budget. The dashboard for clinical trial projects consolidates and then presents financial data by using an all-in-one format for measurement and analysis. The dashboard monitors performance statistics by utilizing different KPIs, like an Actual vs. Budget vs. Annual operation plan, the performance of various therapeutic areas and functions or expense type of analysis. Our budget control dashboards are adaptable. While they excel at handling clinical trial budgeting, they can also be designed to accommodate any kind of large project budget. Want to learn more? Contact Us SUCCESS STORIES

Data catalogs are a game changer when it comes to data access and analysis. Traditionally, data was accessed from a data warehouse and then analyzed by using BI tools like BusinessObjects and Cognos. However, with companies storing more data they can no longer be confined to just a data warehouse. Platforms like Hadoop have made it possible to expand data storage through the implementation of data lakes. Data Catalog Data catalogs are a game changer when it comes to data access and analysis. Traditionally, data was accessed from a data warehouse and then analyzed by using BI tools like BusinessObjects and Cognos. However, with companies storing more data they can no longer be confined to just a data warehouse. Platforms like Hadoop have made it possible to expand data storage through the implementation of data lakes. The departure from using a single location for data storage has resulted in a need to effectively access all the new data that a company collects and stores. Internal Data Data Lake Data Warehouse Entity Profile Reports & Dashboards THE CHALLENGE This kind of project is divided into two: the business process and the technical process. Both components come with their own kinds of challenges. At the business level, an organizational glossary is required in order for data cataloging to be effective. The glossary describes each of the key concepts within the company, how they are measured, who is responsible, where it can be found etc. A project of this type usually comes from the management and requires business understanding, the ability to lead processes with the various management personnel in the organization and the technical ability to connect the business language used to the level of data stored in the various sources of information. The technical process is more simple to implement and it is recommended to start here when there is no pressing need for a business glossary. This process involves the consolidation of all existing data sources in the company to a central metadata system which is why proper management of this system is required. If every piece of company data can now be accessed it would be reasonable to make sure that it is possible to manage who sees what. It is also worth considering adding additional technical information to the catalog, like loading frequency. WHY US ? Vision.bi has partnered with Alation, which is one of the leading data cataloguing service providers, as its official representative in Israel. In addition, Vision.bi has practical experience in large projects in Israel with informatics tools and in leading selection processes in order to adapt customers to the most suitable product. Want to learn more? Contact Us

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

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

In order for plant managers to be successful they need to actively focus on production and profitability, which is more easily said than done. Productivity is tangible, a plant manager can see what the plant is producing and know if it is up to standards, but profitability can’t be seen in the plant. With this gap it is hard to predict how manufacturing operations affect company profitability without additional assistance. Profit & Loss in Manufacturing Gain new insight on the connections between productivity and profit THE BUSINESS CHALLENGE THE BUSINESS CHALLENGE In order for plant managers to be successful they need to actively focus on production and profitability, which is more easily said than done. Productivity is tangible, a plant manager can see what the plant is producing and know if it is up to standards, but profitability can’t be seen in the plant. With this gap it is hard to predict how manufacturing operations affect company profitability without additional assistance. P&L Manufacturing Dashboard As a solution our dashboard provides users with a wide and integrative point of view to the financial performances of all business processes as well as reports that enable users to quickly recognize trends, all in a user friendly manner. Contact Us SUCCESS STORIES

Operational system use within a business is extensive and varied, with each system responding to its own requirements and specializing in a particular field. Companies today tend rely on different systems for each particular business need they have Internal and External Data Operational system use within a business is extensive and varied, with each system responding to its own requirements and specializing in a particular field. Companies today tend rely on different systems for each particular business need they have. Common business practices that rely upon specialized systems include: Customer Relationship Management (Sales Force), Customer Service and Support (Zendesk), Billing (Zuora) etc. Aside from internal company data, there is a lot of external data that exists outside of the company that can be valuable if used correctly. This data includes social network data, weather, public events, demographics, and more, all of which can be used to help shape the next product launch or marketing campaign. Internal Data Data Lake Data Warehouse Entity Profile Reports & Dashboards THE CHALLENGE Interpreting data from operating systems is not straightforward, it requires familiarity with the systems and with how to connect them. To add to the complexity, the stored data is not always readable or easy to retrieve and the systems work independently from each other. After successful data extraction, it’s important make sure everything is in sync since data is flowing in from multiple sources (including external sources). Most of these external systems are cloud based and have their own unique APIs. Integrating these external systems and their data with internal company data while displaying everything in one uniform and insightful way is not easy. WHY US ? Vision.bi has vast experience with integrating operational systems. We are familiar with over 40 APIs and when we encounter new systems we are quick to adjust. To help ensure quick and reliable data integration we have developed a product called Rivery that gathers useful external data and even loads it into cloud databases. Leverage our experience to save valuable time in trying to understanding a specific API, integration development, or data processing. Want to learn more? Contact Us

Since 2008, Vision.bi has been working on projects that change the way companies treat data. During this time, our data engineering professionals have delivered hundreds of high-standard, large-scale analytics projects to more than 200 startups and enterprise organizations. TABLEAU LEAD Full Time Since 2008, Vision.bi has been working on projects that change the way companies treat data. During this time, our data engineering professionals have delivered hundreds of high-standard, large-scale analytics projects to more than 300 startups and enterprise organizations. Tableau is a clear market leader for BI & Analytics. As a Tableau Premier Reseller Partner we offer to our customers professional services, training, kickstart packages and more. Job Summary: We're looking for a talented Tableau Lead to join us. The ideal candidate will have a strong technical background in data visualization, analytics, and Tableau software solutions. As a Tableau Lead, you will work closely with our technical teams serving as a source of expertise and proficiency, and with our sales team to assist clients in evaluating Tableau from a technical perspective. You'll be responsible for delivering demonstrations, presentations, and technical solutions to clients and prospects. Does this sound like you? We'd love to meet you! Job Responsibilities: Assist prospects, alongside the sales team, in evaluating Tableau as a front visualization tool from a technical and business perspective. Lead proof of concept (POC) and demos as part of a sales cycle to familiarize customers with Tableau's key features and capabilities. Build strong relationships with existing customers by driving customer success and support. Conduct Tableau presentations and Workshops for customers in Hebrew and English. Remain updated about the latest features and capabilities of Tableau, serving as the go-to source of knowledge both within and outside the company. Work closely with our projects team- data engineering, product management, IT and business stakeholders. Hands-on work with Tableau, including developing and implementing reports, dashboards, and data sources. Optimize Tableau dashboards and reports for performance and usability. Ensure compliance with best practices in data visualization and data governance. Qualifications : 2-3 years of experience working with Tableau Desktop and developing data visualization and data sources. BA/BSC in Industrial engineering, Computer Science, Information Management or other relevant fields In depth understanding of data visualization concepts, best practices and data storytelling Fluent English - Must High level of SQL and RDBMS Team player with good interpersonal and presentation skills with an ability to work in highly dynamic environments. Clear understanding of all data analytics platform Eco system (ETL, Data modelling, etc’) - Advantage Proven customer facing experience - Advantage Proven experience of working with large volume production environments- Advantage Familiarity with other BI tools (e.g., Power BI, QlikView) - Advantage -Fluent Hebrew and English speaking, writing & reading is required -The position is located in Tel Aviv APPLY FOR THIS POSITION

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

Vision.bi is at the forefront of data innovation. As the leading data consulting business in Israel, we work with the biggest enterprise companies, brands, as well as the country’s fastest-growing tech startups. Our customers’ success is our success, with our teams of data engineers, BI analysts, and visualization experts helping clients solve their toughest data challenges. VISION.BI CAREERS Join our growing team, Vision.bi is at the forefront of data innovation. As the leading data consulting business in Israel, we work with the biggest enterprise companies, brands, as well as the country’s fastest-growing tech startups. Our customers’ success is our success, with our teams of data engineers, BI analysts, and visualization experts helping clients solve their toughest data challenges. From large financial institutions to CPG companies, the need to get value through data has never been greater across virtually every business vertical. If you are passionate about business data and analytics and motivated by delivering business impact with top-tier clients, we’d love to hear from you. OPEN POSITIONS Quilliup QA & Support student position 3.5 - 4 days a week See Position LIFE AT VISION.BI HERE'S WHY TO JOIN US Thinking of joining Vision.bi? here’s what to expect: * We love what we do and we take pride at being good at it – we’ve been in this business long enough to see clients and technologies come and go, and over the years we are constantly refining and solidifying our practices and toolbox. This means you’ll have a chance to work alongside and learn from leading engineers in this industry with plenty of hands-on experience. Who knows, one day you might even become one. * We move at warp speed – our team and the solutions we build aim to accelerate and boost the way our clients leverage their data. We want to create a big impact in a relatively short time, usually 2-3 months. This means that you’ll have the chance to experience and learn a variety of business domains and technologies in a short timeframe, but it also means you have to learn fast and deliver value quickly. * We keep up with technology – we only partner and go to market with the latest tech stack which has proven to deliver, for example: most of our projects these days are done using cloud technologies, preferably SaaS, like Snowflake, Rivery, and Tableau. * We engage as a team – our projects are delivered by a team of experts, led by a Data Solution Manager (or Technical PM). As a team member, you’ll be expected to play an active role in contributing to the success of the project. Equally important, we expect our team members to grow individually as well as share knowledge and make their colleagues better along the way. * We believe in well-rounded experts – our experts don’t do just backend work, or frontend or QA. We believe that in order to be a data expert you have to be exposed and take part in the entire project lifecycle, from inception to go-live, you will have the chance to take an active part in every aspect of the project including interacting with clients and end-users of the platform. * Big Data Small Team – by keeping a relatively small team, we are able to maintain a high quality of delivery and offer premium services to our clients. This also means that you’ll have the chance to advance and grow your career and within the team faster than in other places. * We are mensches – we believe in honesty, transparency, and treating everyone – employees, customers, and partners with kindness and respect. Our employees are staying with us for 5+ years on average (and some much longer than this) so we are probably doing something right Pistions Can't find what you're looking for? We're always happy to talk to you Let's do great things together

Discover how our team of data engineers, data analysts, and visualisation experts are helping leading businesses optimise the way they manage their data and business intel. These examples showcase how Vision BI works with clients as a key partner to deliver future-proof best-in-class data solutions, know-how, and technology. Learn some of the strategies that could also help your business maximize the value of your data. CASE STUDIES Discover how our team of data engineers, data analysts, and visualisation experts are helping leading businesses optimise the way they manage their data and business intel. These examples showcase how Vision BI works with clients as a key partner to deliver future-proof best-in-class data solutions, know-how, and technology. Learn some of the strategies that could also help your business maximize the value of your data. WalkMe Company Background WalkMe™ provides a cloud-based service designed to help professionals guide and engage prospects and customers, and complete online tasks. Their Digital Adoption Platform (DAP) began as a platform-agnostic guidance system to simplify user experience. They have successfully developed new ways to identify and engage users across platforms and devices. With offices in San [...] Meidad Levi, Director of BI ECCOPIA Ecoppia is the world leader in robotic solar cleaning. Harnessing the power of automation, big data, and the cloud, Ecoppia's technology changes the face of the solar industry. The company’s groundbreaking solution offers a cloud-based, connected platform and a suite of robotic solutions for smart management of solar plants. Since 2013, Ecoppia has been [...] Maayan Stern, Product Marketing Manager Read Story Zadara Zadara’s Cloud Platform simplifies operational complexity through automated end-to-end infrastructure provisioning of compute, storage and network resources. With solutions available on-premises and through cloud and colocation providers, Zadara’s turnkey hardware/software, combined with its pay-only-for-what-you-use model, helps organizations to become more agile without sacrificing features and functionality that enterprises demand. Zadara operates hundreds of public [...] Omer Paz, Senior Director Head of Business Applications Read Story Quality Score QualityScore is a boutique online marketing agency specialized in large-scale campaigns. They combine innovative technology, advanced mathematics, brainy analytics, and the most wildly creative minds. By doing so, they are able to deliver highly effective campaigns that transcend the traditional boundaries of digital marketing. The agency helps their clients leverage the biggest digital advertising [...] Aviad, CTO at Quality Score LTD Read Story

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

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 ?