Data Visualization Consulting
We build custom analytics and reporting solutions using industry leading technologies. Our goal is to help our customers maximize the value of their data with custom dashboards and reports. We work closely with our customers to identify and leverage meaningful Key Performance Indicators (KPI's) and find solutions to their business problems. Whether you are interested in upgrading your excel reports or have an established analytics environment, WIT can help support you on any step in your data visualization journey.
Data Visualization Services
Dashboard Development & Support
Data Modeling & Data Discovery
Software Installation & Upgrades
Data Visualization Customer Case Study
Haworth deployed a custom dashboard to product delivery managers over the course of eight weeks, redefining business metrics with real-time data.
Data Visualization/Analytics Definitions
WHAT IS BUSINESS INTELLIGENCE?
Business Intelligence (BI) is an umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, bench-marking, text mining, predictive analytics and prescriptive analytics.
What is business analytics?
Business analytics is comprised of solutions used to build analysis models and simulations to create scenarios, understand realities and predict future states. Business analytics includes data mining, predictive analytics, applied analytics and statistics, and is delivered as an application suitable for a business user. These analytics solutions often come with pre-built industry content that is targeted at an industry business process.
What is Augmented Intelligence?
Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. It also augments the expert and citizen data scientists by automating many aspects of data science, machine learning, and AI model development, management and deployment.
WHAT ARE DASHBOARDS?
Dashboards are a reporting mechanism that aggregate and display metrics and key performance indicators (KPIs), enabling them to be examined at a glance by all manner of users before further exploration via additional business intelligence (BI) tools.
What is Descriptive Analytics?
Descriptive Analytics is the examination of data or content, usually manually performed, to answer the question “What happened?” (or What is happening?), characterized by traditional business intelligence (BI) and visualizations such as pie charts, bar charts, line graphs, tables, or generated narratives.
WHAT IS DATA PROFILING?
Data profiling is a technology for discovering and investigating data quality issues, such as duplication, lack of consistency, and lack of accuracy and completeness. This is accomplished by analyzing one or multiple data sources and collecting metadata that shows the condition of the data and enables the data steward to investigate the origin of data errors.
What is Data literacy?
Data literacy is the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied, and the ability to describe the use-case application and resulting value.
WHAT IS EMBEDDED ANALYTICS?
Embedded analytics is the use of reporting and analytic capabilities in transactional business applications. These capabilities can reside outside the application, reusing the analytic infrastructure built by many enterprises, but must be easily accessible from inside the application, without forcing users to switch between systems.
What is Real-time analytics?
Real-time analytics is the discipline that applies logic and mathematics to data to provide insights for making better decisions quickly. For some use cases, real time simply means the analytics is completed within a few seconds or minutes after the arrival of new data. On-demand real-time analytics waits for users or systems to request a query and then delivers the analytic results. Continuous real-time analytics is more proactive and alerts users or triggers responses as events happen.
WHAT IS BIG DATA?
Big data is high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation.
Source: Gartner IT Glossary
To learn more about our data visualization services, please contact us by phone, email or by filling out a form.
248-641-5900 ext 233