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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. 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 empowering the solar power revolution by enabling year-round peak panel performance and lowering LCOE (levelized cost of energy). More recently, in December 2020 Ecoppia launched an initial public offering (IPO) on the Tel Aviv Stock Exchange (TASE), after successfully completing the public tender phase. Ecoppia secured $82.5 million from leading institutional investors with a company valuation of $300 million. The Challange Fully realizing the importance and value of harnessing the power of data, analytics and BI, Ecoppia engaged with Vision BI’s experts to create a data ecosystem that will provide significant value both internally and to its customers (leading energy players). Unlike most companies that use business data as a source of internal insights, Ecoppia built a data infrastructure at the core of their product, for their customers to receive BI on the performance of Ecoppia’s product. In fact, a significant part of the value that Ecoppia gives customers are the reports which give them clear visibility of cleaning performance and operation across their solar sites. Vision BI team created the perfect data infrastructure. Using best in class solutions for data lake and data warehousing, DataOps orchestration and dashboard visualization with Tableau. - Maayan Stern, Product Marketing Manager The Solution Building a BI solution on top of the initial data from the log of the cleaning robots was at the heart of the solution. Having Ecoppia’s data ecosystem centered around operational performance was the key. This data included activity reports of how much surface has been cleaned, alerts and reports on maintenance activity, part replacements and more. In addition, as an IoT device there are also external data points such as weather forecasts, salesforce reports or inventory insights that could be added to the mix to generate optimal customer reports. Vision BI team created the perfect data infrastructure. Using best in class solutions for data lake and data warehousing, DataOps orchestration and dashboard visualization with Tableau. This enables them to create all the necessary data processes to create all reports for the management team, and for their clients which are now able to know exactly what is happening on site and provides Ecoppia solid foundations to support their future growth. The visibility and insights Ecoppia provides their customers quickly became one of their unique selling points. In addition, Vision BI recommended the integration of Salesforce data as the optimal next step in their data roadmap. This now enables them to connect business performance to product performance – in addition to other external data points such as weather forecast. The Outcome Vision BI’s has been working hand in hand over the past two years with Ecoppia to help in the creation of an optimal data ecosystem and roadmap – as their true data partner. The team has now an automated infrastructure to inform the business in real-time with all the data they need. What’s more, client reports have been automated through a process that provides them with peace of mind – leveraging new knowledge on the status of their solar panels, and the potential for many more insights that are not related to cleaning but to the overall performance of their modules. Ecoppia is not only a data-driven company but they’re fast becoming a data company in its own right. The amount of insights that they collect across thousands of cleaning robots means that they are not only optimizing the use of data to inform their business and their customers – but also leveraging data at scale which will help them redefine the industry with unprecedented insights that will keep them ahead of the curve for years to come. Maayan Stern Product Marketing Manager

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. 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 platforms such as Facebook, Google, Bing, and Taboola to deliver the most ambitious campaign goals. In addition to having a top team of marketing and analytics minds, they use in-house technologies to manage, track, measure, and deliver ROI-driven campaigns for the world’s biggest brands. The Challange While QualityScore delivers large marketing campaigns, their in-house development team is small. Each client requires a different BI environment, something that would be impossible for an agency to build, develop and manage every time they sign a new client. The agency manages large amounts of campaign data, which means their data orchestration, management and reporting had to be efficient and as automated as possible. This would help them scale while keeping a small and lean data team. The challenge was to simplify and automate processes. Moving away from JAVA to simple SQL, so the in-house BI team could scale the operation as new clients join the agency. The company’s challenge was to improve and enhance their data ecosystem with solutions that would enable them to automate as much as possible. Selecting the best self-served and fully managed tools to streamline their operations, provide the flexibility they need to scale with more data and more customers – and didn’t cause a burden to their existing development resources. The expertise and know how from Vision BI’s team to remodel our data infrastructure has been invaluable for us. Our advanced data ecosystem now combines the best of breed solutions for data management, visualization, and orchestration. - Aviad, CTO at Quality Score LTD The Solution Firstly, they used Rivery to outsource and automate their ETL data processes. Rivery’s platform provided QualityScore with a solution to pull data from all their advertising platforms. This enabled them to simplify the data extraction from multiple sources with out-of-the-box integrations that are always up to date. Secondly, Snowflake offered QualityScore a superior data warehousing solution. Since it is a fully SaaS solution, it means their BI team doesn’t have to worry about infrastructure issues. Snowflake’s advanced technology gives the agency much more flexibility when it comes to data management. For example, they can now give some customers access to parts of their data warehouse so they can see what’s relevant to them. Finally, the process around visualization also evolved. While the agency was already using Tableau for dashboards and reports, this wasn’t optimized. Moving all the data logic and processing to Rivery and Snowflake meant that they could get more and better dashboards without ‘overloading’ Tableau with data processes and logic. Selecting & implementing an optimal tech stack Firstly, they used Rivery to outsource and automate their ETL data processes. Rivery’s platform provided QualityScore with a solution to pull data from all their advertising platforms. This enabled them to simplify the data extraction from multiple sources with out-of-the-box integrations that are always up to date. Secondly, Snowflake offered QualityScore a superior data warehousing solution. Since it is a fully SaaS solution, it means their BI team doesn’t have to worry about infrastructure issues. Snowflake’s advanced technology gives the agency much more flexibility when it comes to data management. For example, they can now give some customers access to parts of their data warehouse so they can see what’s relevant to them. Finally, the process around visualization also evolved. While the agency was already using Tableau for dashboards and reports, this wasn’t optimized. Moving all the data logic and processing to Rivery and Snowflake meant that they could get more and better dashboards without ‘overloading’ Tableau with data processes and logic. The improved data ecosystem we have created with help of Vision BI doesn’t only save us time, money and resources spent on data orchestration and processes. It helped us reshape the way we access and exchange insights with our clients. From sharing databases to granting them access to real-time campaign dashboards. - Aviad, CTO at Quality Score LTD The Outcome Vision BI and QualitySocre’s relationship has evolved over the years into a valuable partnership. While a team of Bi experts and data engineers helped QualityScore plan and execute improved data modelling, it has also become an ongoing source of support with Vision BI providing flexible resources and expertise when the agency needs extra help onboard new clients with specific BI requirements. Clients demand more and better access to insights from their agencies and QualityScore is a prime example of how this relationship between agencies and clients is being redefined. In addition to giving clients access to parts of their data warehouse, they provide customers with a login to their system which has Tableau reporting dashboards embedded. The winning combination of Rivery to extract and transform data, Tableau for visualization, and Snowflake as their data warehouse, enables them to embed all data into their proprietary system. Having the perfect data stack and an optimal data infrastructure with automated processes helps QualityScore save time and money. More importantly, it gives them access to the insights they need, whenever they need them. Their new, advanced data ecosystem is crucial for both internal analytics as well as client reporting – the most crucial operation to measure and showcase the ROI of their campaign with all their stakeholders. Aviad CTO at Quality Score LTD

Up until a few years ago companies relied solely upon data warehouses for data storage. However, with the explosion of data and the need to support the increasingly larger volumes, data lakes have become a more practical solution. Data warehouses were being used to implement traditional processes (ETL) that require characterization, Data Lake Up until a few years ago companies relied solely upon data warehouses for data storage. However, with the explosion of data and the need to support the increasingly larger volumes, data lakes have become a more practical solution. Data warehouses were being used to implement traditional processes (ETL) that require characterization, modeling, and development which created bottlenecks that delayed companies’ access to information. A data lake answers this problem by eliminating the need for time consuming ETL. It serves as a central repository and the the source to which all organizational data come from. This is often based on Hadoop technology but other cloud solutions can be used. The traditional data warehouse continues to serve a critical role, it just evolved to another level in data processing. Internal Data Data Lake Data Warehouse Entity Profile Reports & Dashboards THE CHALLENGE The challenges in developing a data lake are many so we won’t go into the whole list here. The guiding principles are: There should be no size limitation as a working assumption There are no limits on processing capabilities (this is a function of applied resources) Preventing the lake from becoming a “swamp” requires close management of what is included, documenting the source of the data elements, the frequency of the update and other characteristics (read more the in the Data Catalog section). WHY US ? Vision.bi has extensive experience in creating data lakes. Even before the current information age, Vision.bi was one of the first to realize the potential of Massively Parallel Processing (MPP) technologies in Israel. We were also a pioneer in implementing Hadoop based solutions as well as other data lake related technologies. Want to learn more? Contact Us

Snowflake delivers the Data Cloud – a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Your Snowflake Implementation Partners Snowflake delivers the Data Cloud – a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Vision.bi is one of the first Elite Service Partners in EMAE within Snowflake’s Partner Network As an Elite Partner, we bring additional technology, industry, and business experience for organizations to get the most value out of Snowflake’s platform. From helping the biggest insurance and financial institutions in Israel, to some of the fastest-growing tech startups, Vision.bi offers Snowflake professional services to help our clients build optimal data processes. Whether you need a kickstart package for snowflake, or would like to discover the endless possibilities within Snowflake’s Data Cloud, our expert teams of data architects and data engineers are here to help you seize the power of Snowflake MEET ARCTICA Introducing Arctica.ai – keeps tabs on your data lake costs, highlights hidden patterns and provides you with insights into your Snowflake usage. Arctica analyze your usage patterns, parse your queries (meta data) and provide new insights on your costs. Write your own custom rules that translate technical entities into business language. Furthermore, you can define thresholds and alerts to make sure everything is running as expected. For More Information VISION.BI, THE PERFECT SNOWFLAKE IMPLEMENTATION PARTNER Vision.bi is the leading Snowflake reseller and an Elite Partner of Snowflake across EMEA. In fact our Co-Founder was awarded the “Snowflake Person of The Year” at the Partner Summit in London. Vision.bi offers a wide range of Snowflake professional services to help organizations modernize their data infrastructure and build optimal data processes in the cloud. Vision.bi’s team of data engineers will help your team beyond snowflake implementation, training your team on Snowflake’s capabilities and helping organizations create the perfect data stack. Seize The Power of Snowflake With Vision.BI Tools & Resources Instant Elasticity Enable any amount of computing power for any number of users to get the performance and actionable insights you desire. Secure Data Sharing Unite your business units and collaborate with your partners via governed and secure data sharing in real time. Per-second Pricing Automatically scale back any amount of horsepower behind your workloads to eliminate the cost of an idle warehouse. Cross-region, Cross-cloud Replicate data across regions and clouds, keep data and apps where they are, operate confidently with failover and business continuity. Used by leading data-driven companies We know best how to maximize Snowflake’s huge potential in your organization Let's Talk

We are passionate data engineers and software developers who change the way organizations treat data. Quilliup QA & Support student position 3.5-4 days a week -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. The quilliup team, a mini startup within vision.bi, is looking for a student for product QA & support. quilliup is a data quality product that enables organizations to produce automated data tests and ensure the integrity of the information in the organization. Responsibilities include: Working closely with the development team, assisting in expanding the customer basket. Customer’s support, customers success, troubleshooting, building product manuals and documentation. Understanding the customer’s needs, assistance in implementing the system. Performing QA and Tests before new version release. Managing customer support in the Zendesk system and quality assurance process in Jira system. Working with DBs and building SQL queries. Development and maintenance of automated testing processes. Understanding the fundamentals of company’s infrastructure and implementations. Qualifications: Third- or fourth-year student in Industrial Engineering and Management Technical oriented SQL knowledge 3.5-4 days a week -70%-80% (we have flexible working hours) Independent fast learning worker with high communication skills To apply for this position please send your CV to: yaara.bronheim@vision.bi

מנהלת משרד ואדמיניסטרציה, הזדמנות למשרת סטודנט בחברה מדהימה, מלאה באנשים טובים, אווירה משפחתית, מלאת עניין ועשייה, אנחנו מחפשים סטודנט/ית מנהלת משרד ואדמיניסטרציה משרת סטודנט מה בתפקיד? > אחריות על ניהול ונראות המשרד > יד ימינה של מנהלת משאבי אנוש > סיוע ותפעול באירועי חברה > מתן מענה לעובדי החברה בענייני אדמינסטרציה > עבודת רכש מול ספקים והזמנות עבור המשרד > תפעול אדמיניסטרציה (קליטת וסגירת עובדים, ניהול רשיונות מחשוב, קשר עם ה-IT ועוד) > עזרה בחשבות: הפקת חשבוניות, גבייה, בקרות פיננסיות תקופתיות מה אנחנו מחפשים? אנחנו מחפשים מישהי חברתית, אנרגטית, שאוהבת לעבוד עם אנשים ולהגיע עם חיוך כל יום בבוקר לעבודה. מה עוד חשוב שתביאי איתך? עצמאות, הגדלת ראש ויוזמה, תקתקנות, שירותיות, יכולת מולטיטאסקינג ויכולת לסדר וארגון. וקצת פרטים יבשים: - סטודנטית בתואר רלוונטי בתחום - עבודה בהיקף של 50% משרה - שליטה בתוכנות Office - ניסיון קודם בניהול משרד (יתרון) - הגעה למשרד (שממוקם בת"א) 2-3 ימים בשבוע * קו"ח ניתן לשלוח ל: Yaara.bronheim@vision.bi *הפניה מנוסחת בלשון נקבה אך פונה לשני המינים APPLY FOR TIS POSITION APPLY FOR THIS POSITION נא לשלוח קורות חיים לכתובת: Yaara.bronheim@vision.bi

We are looking for an Account Executive for a temporary position (8-10 months) to manage and drive our sales processes. If you thrive in a diverse, fast-paced environment and are eager to grow, this is the opportunity for you.  Join our dynamic sales team at Vision.bi! Account Executive Temporary Position: 8-10 Months We are looking for an Account Executive for a temporary position (8-10 months) to manage and drive our sales processes. If you thrive in a diverse, fast-paced environment and are eager to grow, this is the opportunity for you. Join our dynamic sales team at Vision.bi! About Us: Vision.bi is a boutique data and analytics consultancy that specializes in designing and building modern data platforms. By combining technical and business experts with innovative technologies we deliver data solutions that address business needs while offering scale, low maintenance and quick ROI. Vision.bi is also a global partner and leading reseller of top technologies: Tableau, Snowflake, Rivery, Dataiku. Role Responsibilities: Execute sales plans and then meet and exceed sales goals (quotas) through prospecting, qualifying, managing and closing sales opportunities. Manage sales operations processes including quotations, proposals and purchase orders. Coordinate resources throughout the sales cycle, including product support and pre-sales. Maintain our outstanding relationships with existing customers and nurture a business relationship with vendor partners. Nurture and expand customer accounts through regular QBRs, customer success meetings, and a proactive approach. Manage recurring software subscriptions and maintenance renewals. Support marketing activities - promotional campaigns, conferences, webinars and meetups. Qualifications: 1-2 years of experience working as a sales manager BA in business administration or a related field passionate and motivated individual with a strong drive for sales and excellent interpersonal skills. An executor with a proven track record of driving results and closing deals. Experience in SaaS, Technical and/or data products- Advantage Excellent verbal & written communication skills in Hebrew and English Ability to work on multiple matters simultaneously in a highly organized manner, while remaining focused and detail-oriented Fast learner and ability to work independently and within a team For more information, visit our career page. Apply Now: Please send your CVs to: jobs@vision.bi APPLY FOR THIS POSITION

Marketing is one of the largest and most important expenditures that any SAAS, B2B, or B2C company has to make. For years, companies have been left in the dark regarding questions surrounding their marketing campaigns with the exception of sales results. Regardless of sales being up or down it proved difficult to identify the most effective marketing channels. Marketing Campaigns Performance & ROI Get control over your billing, transactions, and payments THE BUSINESS CHALLENGE THE BUSINESS CHALLENGE Marketing is one of the largest and most important expenditures that any SAAS, B2B, or B2C company has to make. For years, companies have been left in the dark regarding questions surrounding their marketing campaigns with the exception of sales results. Regardless of sales being up or down it proved difficult to identify the most effective marketing channels. Inbound Marketing Dashboard Guessing what is or what isn’t working in a marketing campaign doesn’t cut it anymore, our solution allows you to take it a step further. We are capable of monitoring results and producing data that can be utilized to determine the effectiveness of any marketing campaign that has been carried out. We can go deeper than sales results and leverage that data to further improve future marketing campaigns. Our dashboard allows you to gauge marketing campaign success and track the results end-to-end with thorough analysis of the inbound marketing funnel, pipeline performance, and overall campaign performance. Want to learn more? Contact Us SUCCESS STORIES

Customer acquisition costs are often significantly higher than customer retention, which is why an effective post sales strategy is crucial. Customer satisfaction and excellent customer support can lead to high retention and renewal rates. Customer Success Management Get to know your clients and keep them coming back THE BUSINESS CHALLENGE THE BUSINESS CHALLENGE Customer acquisition costs are often significantly higher than customer retention, which is why an effective post sales strategy is crucial. Customer satisfaction and excellent customer support can lead to high retention and renewal rates. Vision.bi knows that customer success managers (CSMs) have a challenging job – to do well they must keep watch over their entire customer base and have a deep understanding of them. Success Management Dashboard Vision.bi provides a solution that enables the CSM to better analyze post sales activities by generating important Key Performance Indices (KPIs). Users can run advanced data science models that can predict churn rate, growth etc., all of which appear on one dashboard. Now a CSM can make reliable, data backed decisions and develop customer related business strategies in real time. Want to learn more? Contact Us SUCCESS STORIES

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

Take advantage of our extensive, end-to-end knowledge of Big Data systems End to End Analytics Platform We specialize in creating end-to-end analytics platforms for top companies across industries. General Analytics Platform Architecture Internal Data Integration read more External Data Integration read more Data Lake read more Data Warehouse read more Entity Profile read more Reports & Dashboards read more Data Science read more Business Application Data Catalog read more Data Quality

When revenue recognition relies on one source and payout relies on another, financial departments are forced to invest a lot of effort in making sure all their data matches. For example, B2C companies that process millions of transactions per month need several financial controllers to constantly monitor company financial data. The challenge becomes even greater when dealing with different types of currencies, transactions, and payment platforms. Finance Reconciliation Get control over your billing, transactions, and payments THE BUSINESS CHALLENGE THE BUSINESS CHALLENGE When revenue recognition relies on one source and payout relies on another, financial departments are forced to invest a lot of effort in making sure all their data matches. For example, B2C companies that process millions of transactions per month need several financial controllers to constantly monitor company financial data. The challenge becomes even greater when dealing with different types of currencies, transactions, and payment platforms. Finance Reconciliation Dashboard The key to finance reconciliation is consistency and accuracy when handling financial data. To address this, we have developed a solution that not only helps process your financial data but also lets you see it in a way that allows you to quickly identify any mismatches or discrepancies that have occurred. The Finance Reconciliation dashboard presents reconciled and unreconciled amounts clearly and in great detail when comparing bank statements, payment service transactions, and billing system transactions. The dashboard allows users to drill into the specifics of each component they’re viewing, making it easy to identify outstanding problems and to develop a strategy to fix them. Want to learn more? Contact Us SUCCESS STORIES