Anodot is a business intelligence tool that leverages AI and machine learning to provide real-time analytics and anomaly detection. It continuously monitors data across various metrics, identifying patterns and deviations to alert users of potential issues or opportunities, thereby enabling proactive decision-making.

About Anodot
Anodot was created in 2014 to address the need for real-time anomaly detection and analytics in business data. It utilized AI and machine learning to monitor metrics continuously, aiming to identify patterns and deviations quickly. The tool was developed to help organizations make proactive decisions by providing timely alerts on potential issues or opportunities within their data streams.
Strengths of Anodot include its real-time anomaly detection, AI-driven analytics, and ability to handle large volumes of data across multiple metrics. Weaknesses may involve integration challenges with legacy systems and the complexity of setup for non-technical users. Competitors include companies like DataDog, Splunk, and Moogsoft, which also offer monitoring and analytics solutions with varying features.
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How to hire a Anodot expert
An Anodot expert should have skills in data analysis and interpretation, proficiency in AI and machine learning concepts, and experience with real-time data monitoring. They should be adept at using Anodot's platform for setting up and managing alerts, as well as integrating it with various data sources. Familiarity with APIs and scripting for automation can also be beneficial.

Marçal O.
Skills
A seasoned professional with two decades of expertise in comprehensive Business Intelligence (BI) projects, encompassing all phases from Data Management and Data Warehousing to the delivery of final dashboards. Proficiencies include data gathering, dimensional modeling, ETL processes, and dashboard creation. Additionally, the individual has served in an architectural role, offering team support and contributing innovative ideas and solutions.

Caio F.
Skills
A dual citizen of Portugal and Brazil, possessing six years of professional experience as a computer engineer in the domain of business intelligence. Expertise includes the development of business intelligence solutions, dashboard creation, data manipulation, and system integrations, with a keen analytical approach and a passion for data.
Academic credentials include a Bachelor's degree in Computer Engineering from Metodista University São Paulo (2018) and a Postgraduate degree in Data Science with a focus on Big Data Analytics from Mackenzie University São Paulo (2020). Professional certifications encompass Tableau Specialist (ID 999441) and Google Analytics (ID 53844274). Proficient in Power BI, Tableau, and Google Data Studio, with a working knowledge of QlikView, QlikSense, and SpotFire. Achieved multiple Business Intelligence badges from Tableau, namely Tableau Analyst, Developer, Author, Consumer, Data Scientist, Designer, and Executive Sponsor.
Proficient in advanced English, with ongoing coursework to further language skills. General competencies cover system engineering, documentation, electronic devices, computer networks, software architecture, and calculus. Extensive experience with ERP systems, data-driven decision-making, programming logic, MIS, UML, business intelligence requirements gathering, data mining, statistical analysis, data strategy, data collection, big data processing, and a range of analytical tools, including Microsoft Excel, Tableau Desktop, Google Data Studio, Qlik, Tableau Prep, Talend, Pentaho Data Integration, Looker, Power Query, and Tableau Public.
Database expertise includes MySQL, Oracle 11g/12g, SQL Server 2008/2016, HP Vertica, Amazon Redshift (AWS), Amazon Athena, Hadoop, Azure, and Databricks.

Leonardo T.
Skills
A professional in Information Technology with over 12 years of expertise, specializing in Project Management and Product Management. Extensive experience contributing to the success of organizations through the implementation of comprehensive processes, adept problem-solving, and fostering innovation. Proficient in leading teams across varying levels of maturity, ensuring integration of technology and digital transformation within diverse business sectors.
Demonstrated capability in managing multidisciplinary teams to achieve and exceed challenging objectives, irrespective of technical complexity, by syncopating development cycles with planned deliverables.
Successfully managed a System Modernization Project, surpassing targets by 5% through modernizing 15% more legacy systems than initially planned, transitioning from Mainframe systems to enhance maintenance efficiency and reduce costs.
As a Delivery Manager, achieved a significant reduction of 50% in the SAP Basis team's backlog within four months, improving operational efficiency and accelerating service delivery timelines.
Implemented a Kaizen project within the support team, resulting in savings of R$100,000 by internalizing the processes for updating the ECM Hyland Onbase system.
Proven record of establishing departments, training teams, and implementing processes to maintain robust and scalable operations. Eager to further refine management capabilities, underscored by participation in professional development courses such as Storytelling for Business, Digital Business Metrics, Leadership Training, and Scrum Master - PSM I Preparation.

Gustavo G.
Skills
A communicative individual with a strong interest in diverse viewpoints and opinions, known for facilitating cross-departmental interactions and fostering respectful connections. Exhibits a keen ability to embrace challenges and pursue continual self-reinvention, demonstrating a commitment to learning and stepping outside the comfort zone. Possesses a passion for exact sciences, numbers, and technology, with a proven capacity for swiftly mastering new technologies, systems, and software. Recently concentrated on advancing personal development and technical expertise to enhance professional contributions.

André L.
Skills
Computer Engineering student with an incomplete course of study at the Federal Technological University of Paraná (UTFPR) and currently enrolled in the 5th period of an Information Systems degree at the same institution. Coursework has been augmented by additional studies in PowerBI, React, and Python through online platforms. Also possesses knowledge of the C programming language.

Erico M.
Skills
Data Specialist with over twelve years of experience in major retail and service industries, offering a robust foundation in team leadership and commercial planning. Extensive experience as a Supervisor in Sales Front has imparted a broad business perspective and strong leadership abilities. Currently functioning as a Market Intelligence Specialist in a Market Insights cell, leveraging expertise in modeling, ETL, ELT, Big Data technologies, and various data analysis tools to provide valuable insights for executives and contribute to data monetization initiatives. Proficient in SQL (Oracle), HQL (Hive), Alteryx, Tableau, Excel, and Python.

Gonzalo B.
Skills
Gonzalo is a data analyst with six years of experience. Proficient in Python, SQL, Microsoft tools, Databricks, and MySQL, Gonzalo is an innovative and meticulous data scientist specializing in web marketing analytics.

Nathan B.
Skills
An experienced professional in business analysis and renewable energy projects excels at leading multifunctional teams and implementing data-driven solutions. Specializing in agile methodologies, project management, and advanced analysis, notable proficiencies include effective team leadership and timely project delivery through the utilization of Agile and Scrum methodologies. The professional demonstrates expertise in data analysis, machine learning, and deep learning algorithms using platforms such as TensorFlow and PyTorch, as well as advanced data modeling, processing, and visualization techniques. Additionally, adeptness in data visualization is showcased through the proficient use of tools like Microsoft Power BI, Tableau, and Streamlit to effectively communicate insights. Skills in cloud computing encompass a broad knowledge of AWS, Azure, Google Cloud, and IBM Watson, which are employed to develop scalable and secure solutions. Fluency in both English and Portuguese is also noted.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
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