Analytics and Data Management

Qualitative and Quantitative techniques and processes used to enhance productivity and business gain.

The goal is to turn data into information, and information into Insight.

With more information coming from more sources, many organizations struggle to manage data’s exploding volume, diversity and complexity. Not only is storing data costly, but conventional data management practices can strain IT resources.

Data Analytics is, essentially, “what value/information can we derive from the data”? These include basic counting tasks such as generating summary counts of “events,” creating reports with summary descriptive statistics, and application of “data visualization” tools to create graphics that convey the “information” in your data or to assess the effectiveness of marketing campaigns and similar “interventions” on customer behavior. Data analytics services and solutions can help you harness the power of big data without exhausting your human and infrastructure resources. Upturn Data Analytics services leverage technology and expertise to unlock hidden opportunities and insights.

Data Management is more focused on the acquisition and preparation of data for other purposes in the organization. At Upturn our focus is on building databases, uploading data to these data stores, creating backup and historical copies of files, and providing “permissions” to others in the organization to access certain data files and perhaps even with those files, certain rows and/or columns therein. We are also involved in things like “data cleaning” (that is, to prepare data for inclusion in databases) and ETL (extract/transform/load) tasks that “surface” data to other users in the organization.

We specialize in developing tailored management solutions by building monitoring strategies and predictive models for a wide variety of decision-making processes: asset performance management, equipment reliability, operational efficiency, risk reduction, process optimization and organizational performance. We aim to move beyond simple identification of past issues to analyze potential future outcomes and prescribe actions that improve performance.

4 Pillar of Analytics Strategy

Engage with internal clients to improve delivery of analytic projects needs, audit the analytics tools and report catalog, clean duplication, Monitor Business vital signs creating Dashboards for a culture of transparency, Enable storytelling visual systems that infuse analytics across the organization, Develop insightful, consultative research led by strong methodology.

Educate in the creative use of data and analytics to solve business problems,
Identifying external trends to inform strategic decisions, Encourage a culture of data-driven innovation by bringing in external speakers,
Create and test new ways to transform current practices.

Recruit, develop, and retain a diverse world class team, Encourage a culture of trust that rewards the right behaviors, Develop continuous learning tools that support internal and external clients, Identify data points opportunities across the digital and physical customer journey.

Provide thought leadership in analytic techniques and new solutions, Develop trust relationships with business leaders and understand their needs, Align with local KPIs to develop deep analysis and custom solutions, Develop skills and align old capabilities to new organization needs, Enable quality control systems and audit and compliance tools and training.

Data mockups to catch on