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Data & Analytics Consulting

It’s no secret that data is one of the most valuable assets on the planet, and the way to turn data into value is through data science. Thanks to advances in data technology, companies and government agencies can make up-to-date data-driven decisions, instead of decisions based on instinct. Transforming into a data-driven organization can be a daunting task, however, as you navigate multiple vendors and complex solutions across your IT infrastructure. Also, some enterprises don’t know how to collect the proper data, store and secure it, or best analyze it to use to their advantage. Zobo taps into a wellspring of experience in this area, as we help you build a comprehensive and tailored data enterprise strategy, resulting in a high-performing data environment. By offering full data life cycle services, Zobo can enable your organization to unlock its full data potential, assisting you every step of the way, which means no more disjointed or half-completed data projects. 

Enterprise Data Strategy
Develop an organizational data strategy to support your organization’s key business goals. We deliver easily digestible data for all functional use-cases, including transactional analytics, reporting, data science, digital and operational. Upgrades are given not only to physical and digital data systems, but to cultural systems as well. We ensure your data strategy is coherent, cross-departmental, and receives buy-in from all stakeholders, so your data transformation offers maximum value.
Data Collection
The first step to establishing key insights is having access to high-quality data. We design data collection instruments and processes to create the rich datasets you readily nee. We collect and construct datasets on a wide range of topics including customer feedback, staffing information, usage statistics, economic conditions, you name it. Our analysts are adept at cleaning and wrangling any data needed for analysis, so that all insights are created from an accurate foundation.
Data Modernization
Move away from outdated or siloed legacy data systems, and into modern cloud-based tools that expand data access and store more data. Data modernization strengthens organizations by enabling elasticity (the ability to cancel resources as needed), increasing data handling capacity, automating data pipelines, and providing access to advanced tooling. This leads to faster and higher quality data for decision-making, and less human and economic resources needed for data work.
Data Architecture
Optimally direct the flow of data throughout your enterprise via well-implemented data architecture. Data architecture outlines how data is stored and managed across the collection, extraction, transformation, distribution, and consumption phases of the data lifecycle. Thoughtfully designed architecture provides a sound user-friendly base for data processing procedures and artificial intelligence (AI) applications, as well as enables cross data source analysis.
Data Governance
Enact policies and procedures for maintaining data standards and compliance. Data security standards consist of the processes put in place to protect your data from unauthorized access or corruption, mishaps that can cost your organization millions. Other data standards document governance around data visualization, format, definition, structuring, tagging, transmission, manipulation, and use. These standards facilitate high data integrity and efficient data handling and presentation.
Data Visualization
Transform pertinent data from various data sources into actionable insights using popular visualization tools such as Tableau, Cognos, and Microsoft Power BI. In addition, draw on Zobo’s data visualization and software development expertise through custom-designed web-based interactive visualizations and data tools, constructed specifically for your organizational needs. Use the power of impactful visualizations to educate and persuade your audience in meaningful ways.
Data Storytelling
Build compelling narratives based on statistical insights derived from the analysis of complex datasets. Sometimes data visualization is not enough to drive home important messages, particularly to non-data-expert users. Data storytelling allows you to translate data findings to unique audiences in ways that influence and inform them. Well-crafted stories enable users to engage with your content more easily and make critical decisions quicker and more confidently.
AI & Advanced Analytics
Harness the power of modern analytic techniques including predictive modeling, artificial intelligence, process automation, and machine learning. Today’s data systems have massive amounts of data, and traditional techniques can't properly understand some trends and situations. By building newer analytic models within your organization, you can swiftly analyze vast amounts of data, proactively respond to emerging trends, and predict the likelihood of certain events.
Project Management
Drive strategic alignment and desired outcomes under the direction of our PMI and Agile certified managers. We implement best practices that promote the most effective use of resources. Project teams are carefully assembled by our data managers and supported in working quickly and collaboratively within timeframes and budgets. Regular client communication occurs via check-ins, project reporting, and project planning exercises, so you're always in the know.

Our Intellectual Leaders

Prior to joining Zobo Analytics Laura served in multiple data leadership roles in the field of banking. She has spearheaded global data innovation initiatives, developed sophisticated fraud detection and underwriting strategies, and created API data products to drive customer engagement. She uses her rich experience as a former CDO to provide valuable consulting knowledge to new and seasoned data executives. Laura is an expert at driving large scale enterprise-wide data transformations and supporting data driven work cultures and practices.
Laura
Kevin has experience working with organizational leadership to understand their implementation processes, and to help build the capacity of organizations to carry out strategic evaluations of their services. Kevin has served as the Director of the National Evaluation Center for the AIDS Education and Training Centers program, a federal program ($34 million annual funding allocation) that educates health care professionals on HIV care best practices. In this role, he standardized evaluation practices across the country and produced the first national outcome evaluation of the program.
Kevin
Matt possesses over 30 years of IT experience in enterprise architecture, data integration, business intelligence, and data modeling. He has designed and implemented numerous substantially sized data warehouse projects. He is adept at using a variety of methodologies and technology design approaches providing a full range of services and solutions for both relational and multi-dimensional platforms. His background spans multiple sectors: government, financial services, manufacturing, telecommunications, Education, and retail.
Matt
Clyde is a seasoned Ph.D. level data scientist, with extensive programming experience in R, Python, SQL, and Matlab. He is an expert at managing, analyzing, and visually presenting complex data, as well as a thoughtful developer of data dashboard systems. His career includes experience working in academia as a professor of statistics, and time spent working as a researcher with Johns Hopkins University. He is the author of numerous peer reviewed journal articles and conference presentations on artificial intelligence. His passion for working with data pushes him to remain at the forefront of emerging data science trends.
Clyde

Recent Project Highlights

A large semiconductor producer needed help managing vast amounts of data, tools, and processes related to their inventory. Manufacturing firms that don’t have a handle on these items risk reduced customer satisfaction due to supply chain issues caused by missing parts. Zobo helped the company reduce their costs by over $10M and improve customer feedback and delivery times.  We mapped their data to desired outcomes, infrastructure, processes, and used AI & ML techniques to deliver new intelligent and data-driven inventory policies.

A Zobo research team designed and implemented a mixed-methods evaluation of an urban after school program, targeting low-income elementary school students. Components of the study included online and in-person classroom observation, staff surveys, and quantitative student data analysis. Iterative formative assessment was provided throughout the school year, with the aim of modifying teaching and learning activities to improve student achievement. Final assessment demonstrated the program was effective in raising student test scores.

A global real estate company wanted to lower licensing and IT adminastrative costs around having multiple BI software vendors. Portfolio managers were using these systems to track performance, transactions, commissions, and other data. They also wanted to deploy new corporate dashboards. Zobo streamlined their BI solution to one platform, upgraded their ETL processes, and identified key performance indicators to compute and present in real-time. As a result of these enhancements the client saw a six-figure reduction in expenses.

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