Search Results

Tableau helps people transform data into actionable insights. Explore with limitless visual analytics. Build dashboards and perform ad hoc analyses in just a few clicks. From global enterprises to early-stage startups and small businesses, people everywhere use Tableau to see and understand their data. Vision.bi is a Tableau gold partner that offers Tableau professional services, Tableau implementation plan, kickstart package for Tableau and Tableau courses. Tableau Tableau helps people transform data into actionable insights. Explore with limitless visual analytics. Build dashboards and perform ad hoc analyses in just a few clicks. From global enterprises to early-stage startups and small businesses, people everywhere use Tableau to see and understand their data. Vision.bi is a Tableau gold partner that offers Tableau professional services, Tableau implementation plan, kickstart package for Tableau and Tableau courses. Kickstart package for Tableau Tableau Masterclass and Workshop Tableau Packages 5 DAYS Fast Track to Business Insights Essential Upto 3 Participants Tableau Desktop fundamentals training Server & data sources setup Roles & permissions configuration How-to publish & deploy processes Defining best practices (naming convention, standardization etc.) Laying foundations for self-service environments 2.DAYS/WEEK Expert On-Going Mentoring & Support Upto 3 Participants Personal coaching sessions focusing on specific challenges Monthly health check & tableau server maintenance Performance tuning including extensive tools and best practices Introduction and setup of grown-up features (in 2.9.3 – CI & deployment, data catalog ) Dashboarding design with tint (vision.bi UI/UX studio) 10 DAYS Professional Leveraging Tableau’s capabilities for business growth Upto 3 Participants Tableau server training Advanced dashboarding including actions, LOD calculations and parameters usages Data sources decision making & optimization (live, extract, blending) Building UI/UX style guide with tint (vision.bi UI/UX studio) Creating 1-2 reusable dashboard templates Guided individual development for one business use case Summary and recommendations 3 DAYS Tableau Facelift Tell compeling stories with state-of-the-art visuals Reviewing 1-2 selected dashboards and recommending UI/UX improvements Building UI/UX style guide with tint (vision.bi UI/UX studio) Creating 1-2 reusable dashboard templates Tableau Masterclass & Workshop As Tableau’s Gold Partner, Vision.bi offers a comprehensive 2-day workshop for teams to get familiar with the platform, and learn the most important tools and tips to make the most of Tableau. WORKSHOP DAY 1 Combine data Using joins, blends, and unions Create Tables, bar charts, pie charts, and line graphs. Sorting Sort, filter, and group your data Aggregate Aggregate with sum, average, min, max, and counts Using Parameters Use parameters and input controls to give users control over certain values. WORKSHOP DAY 2 Create New Fields Create new fields using calculations with conditional logic . Mapping Data Map your data to quickly detect geographic variation. LOD Understand and use LOD calculations. Performancing Understand performance considerations Build Dashboards Build better dashboards using techniques for guided analytics, interactive dashboard design, and visual best practices. Get Started Now Harness the power of your data Ease Of Use Anyone can analyze data with intuitive drag & drop products. No programming, just insight. Smart Dashboards Combine multiple views of data to get richer insight. Best practices of data visualization are baked right in. Connect Automatically Get the freshest data with a live connection to your data or get automatic updates on a schedule you define. Share In Seconds Publish a dashboard with a few clicks to share it live on the web and on mobile devices. Used by leading data-driven companies Vision.bi is now Tableau’s gold partner. This is an important milestone that reflects our commitment to provide our customers with the best data solutions in the world. We’re always happy to talk to you Let's Talk

We are passionate data engineers and software developers who change the way organizations treat data. BI STUDENT POSITION Part Time (3.5-4 Days 70%-80%) 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. Excited to learn every day, solve complex problems and never be bored? Join US Responsibilities include: Translating business requirements into clear and actionable Tableau dashboard Develop and maintain Tableau dashboards for multiple clients on top of multiple data sources Collaborate closely with data engineering teams, product managers and UI/UX specialists inside and outside the company Qualifications: Third- or fourth-year student in Industrial Engineering and Management 3.5-4 days a week -70%-80% (we have flexible working hours) SQL knowledge To apply for this position please send your CV to: yaara.bronheim@vision.bi

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

We are looking for a deeply technical data engineer to join our team and help us drive our vision forward. DATA ENGINEER Full Time Since 2008, Vision.bi has been delivering innovative data solutions that change the way companies treat their 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. We are looking for a deeply technical data engineer to join our team and help us drive our vision forward. Is this role for you? If you’re an analytical, data savvy person, aiming at finding order, meaning and value in raw data – you should join us! What you’ll be doing Collaborate with data engineering teams, product managers and UX/UI designers to create insightful [and beautiful] analytics solutions. Develop complex data pipelines from various sources and using the newest and most challenging technologies. What qualifications should you have? B.Sc degree in Computer Science, Industrial Engineering ,Information Systems or an equivalent background. At least one year of hands-on experience, working as a data engineer or BI developer (developing data pipelines and ETL processes). Strong SQL skills. A solid understanding of RDBMS modeling. A fast learner with good communication skills — can articulate technical problems clearly in both Hebrew and English. Advantage – Programming experience in Python or other relevant languages. Advantage – Hands-on experience with big data cloud platforms (e.g. Snowflake, Google BigQuery). To apply for this position please send your CV to: yaara.bronheim@vision.bi APPLY FOR TIS POSITION APPLY FOR THIS POSITION Full Name Email Phone Cover Letter Submit

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