Rose Data Science & Analytics
Data science refers to the analysis of data creation. Business analytics is the practice of iterative, methodical exploration of an organization’s data with emphasis on statistical analysis. Big data analytics refers to the science and analysis of both internal and external data to obtain valuable, actionable insights that allows the organization to make better decisions.
Rose Data Science Professionals offers the ability to quickly form a data science team and scale-up big data projects without the upfront CapEx of hiring data scientists in-house. Organizations can also scale down equally quickly and pay only for the data science services they use.
Rose can remove the need for organizations to hire and/or train data scientists, a difficult prospect in today’s market due to a lack of skilled business data science practitioners. Rather, Rose data scientists can be engaged on a time or fixed fee basis and be responsible for deploying, managing and scaling the data science and business analytics component of big data projects.
New academic research suggests that companies using this kind of data science and business analytics to guide their decisions are more productive and have higher returns on equity than competitors that do not. As data science changes the game for virtually all industries, it will tilt the playing field, favoring some over others.
Data science in business is about having the right information and insight to create better business outcomes. Business analytics means leaders know where to find the new revenue opportunities and which product or service offerings are most likely to address the market requirement. It means the ability to quickly access the right data points to evaluate key performance and revenue indicators in building successful growth strategies. And, it means recognizing regulatory, reputational, and operational risks before they become realities.
The goal is to leverage both internal and external data - as well as structured and unstructured data - to gain competitive advantage and make better decisions. To reach this goal an organization needs access to professional data scientists and new data analytical technologies.
The solution is to develop data science business and knowledge processes and engage data scientists to gain business understanding. It may be helpful to think of data scientists like lawyers: highly trained knowledge workers that can be hired full time in-house or engaged independently on a time or project basis.
Rose data science and business analytics professionals can help you obtain valuable, actionable insights from data to drive better organizational decision-making and increased performance.
Rose data scientist's have a solid foundation in computer science, modeling, statistics, analytics, math and strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge.
Rose can help you build or supplement a big data analytics team to focus on data science, predictive analytics, decision optimizing processes and business performance management.
Data science and business analytics provides the following benefits:
1) Having the knowledge you need: Data science delivers insightful information in context so decision makers have the right information, where, when and how you need it.
2) Making better, faster decisions: Data science provides decision makers throughout the organization with the interactive, self-service environment needed for exploration and analysis.
3) Optimizing business performance: Data science enables decision makers to easily measure and monitor financial and operational business performance, analyze results, predict outcomes and plan for better business results.
4) Uncover new business opportunities: Data science delivers new insights that help the organization maximize customer and product profitability, minimize customer churn, detect fraud and increase campaign effectiveness.
By embracing data science, decision optimizing processes and an analytical approach, companies identify their most profitable customers, accelerate product innovation, optimize supply chains and pricing, and identify the true drivers of financial performance.
Professional Data Science Services
Data Science Professional Services
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Big Data Next Frontier for Innovation, Competition and Productivity
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Modern BI Architecture & Analytical Ecosystems
Game-changing Effects of Big Data
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Predictive Analytics E Guide
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Enterprise Hadoop Solutions Wave 2012
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Big Data Potential
Clouds, Big Data, and Smart Assets
Structured vs. Unstructured Data: The Rise of Data Anarchy
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Hadoop Architecture and Deployment
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Data Virtualization Wave 2012
Predictive Analytics: The Consumer Crystal Ball
Data as Strategic Asset
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