SAP Predictive Analytics is a software tool that enables businesses to create, manage, and deploy predictive models. It helps organizations analyze historical data to predict future outcomes and trends, automate data preparation, and improve decision-making processes by providing insights into potential future events.

About SAP Predictive Analytics
SAP Predictive Analytics was developed by SAP to enhance data-driven decision-making capabilities for businesses. It emerged as a response to the growing need for advanced analytics tools that could handle large datasets and provide predictive insights. The software leveraged SAP's expertise in enterprise solutions to offer comprehensive predictive modeling and data analysis functionalities.
Strengths of SAP Predictive Analytics included its integration with SAP's ecosystem, robust data handling capabilities, and automation in model building. Weaknesses involved a steep learning curve and limited flexibility compared to some competitors. Competitors included IBM SPSS, SAS Advanced Analytics, and Microsoft Azure Machine Learning.
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How to hire a SAP Predictive Analytics expert
A SAP Predictive Analytics expert must have skills in data modeling, statistical analysis, and machine learning. Proficiency in using SAP's software suite, particularly SAP HANA and SAP BusinessObjects, is essential. Knowledge of programming languages such as R or Python for custom model development is beneficial. Understanding of data integration and manipulation within the SAP ecosystem is also crucial.

Adalgisa D.
Skills
With six years of professional experience in design, focusing on digital and graphic production, the candidate demonstrates expertise in planning and developing digital products through strategic communication and marketing techniques. Responsibilities encompass user analysis, strategic management, metrics analysis, benchmarking research, and UX research. Additionally, the candidate is adept in creating flowcharts for process improvement and development, branding, layout design, email marketing, and video content production. Proficiency in Lean processes, Agile UX, and growth strategies directed at product sales are notable strengths. A concentrated area of study includes the implementation of accessibility, inclusion, and data analysis to develop user-friendly products that generate significant results.
Personal interests include drawing illustrations, gaming, game development, and watching science fiction series and movies, with a particular fondness for chocolate and kittens.

Renata B.
Skills
An eight-year tenure in customer care management and a robust seven-year background in quality assurance underscore extensive experience in guiding both teams and processes. A two-year term as a product manager within Agile teams further complements this expertise. With a comprehensive understanding of B2B, B2C, B2B2E, and SaaS segments, particularly within the health technology sector, current focus areas include pet health insurance.

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.

Tomas M.
Skills
Tomas is a Product and UX/UI Designer with over six years of experience across diverse industries. He is an expert in Figma and prototyping, and is skilled at developing design systems according to Atomic Design principles.

João H.
Skills
Specializing in the transformation of raw data into actionable insights, this professional leverages a background in Production Engineering and a commitment to ongoing education in data analytics. Proficient in data analysis and agile methodologies, the focus is on enabling informed decision-making that drives business success. Key technical competencies include Python, SQL, Postgres, MySQL, Power BI, DAX, Power Query, Looker, and Google Analytics.

Guilherme R.
Skills
A Project Manager and Product Management professional with over a decade of experience, specializing in guiding IT teams of 6 to 35 members. Demonstrates extensive expertise in continuous delivery and the enhancement of team efficiency.

Gabriel M.
Skills
A seasoned expert in UI/UX and Low-Code Development, this professional brings over eight years of expertise in Technology and Design. Their career has been defined by a commitment to creating exceptional digital experiences that drive business success and enhance customer satisfaction. With a focus on self-directed learning, they continuously stay at the forefront of innovation. Their skill set includes developing interfaces, applications, SAAS systems, websites, and on-demand landing pages using low-code technologies such as FlutterFlow, Bubble, and Wordpress with Elementor. Open to collaborative projects and opportunities that align with a vision of constant improvement, this individual is keen to contribute to teams and help organizations achieve their objectives.

Pedro H.
Skills
Expert in technology with over 20 years of experience, including a 12-year focus on E-commerce and digital platforms within major retail companies. Demonstrated competence in digital transformation for online retail, encompassing recruitment, training, and management of software development teams for digital products. Proven track record in digital product management from inception to maintenance, with a strong focus on setting objectives, goals, and key metrics for products and squads, while closely monitoring these indicators with stakeholders and teams. Skilled in managing large, multidisciplinary, and multifunctional teams, as well as internal and external service providers, alongside adept contract negotiations and budget management. Proficient in applying Agile methodologies, including the implementation and readjustment of Scrum and Kanban frameworks, as well as custom methods. Adept at handling projects that integrate physical retail with digital platforms, supporting the operation and evolution of E-commerce systems, Omni-Channel strategies, and integrated platforms. Experienced in solving complex problems across various operations and developing new sales channels. Well-versed in crisis management, problem resolution, and team scalability during critical retail periods such as Black Friday. Expertise in E-commerce platforms, including Vtex, SalesForce Commerce Cloud, and OMS Linx, along with familiarity with digital product tools such as Google Analytics, Tag Manager, Hotjar, and Jira. Technical background focused on front-end systems, including code performance, mobile testing, A/B testing, SEO, prototyping, and responsiveness using HTML, CSS, JavaScript, and APIs.
*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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