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Tableau 2020.3 highlighted by new data prep capabilities
A new data preparation tool and enhanced predictive modeling capabilities highlight analytics software vendor Tableau's third-quarter platform update.
More Highlights
- Importance of analytics heightened by COVID-19 pandemic
Business intelligence is needed when times are bad, and it's the organizations who have created a data-driven culture that are best poised to thrive amid the COVID-19 crisis.
- Using data for public good in fight for racial equity
While some data-driven methods recently have been publicly scrutinized for biases in practice, there are plenty of ways data can aid the fight for racial equity.
- Baseball's Twins deploy Databricks to improve analytics power
With the amount of data used to make player personnel decisions in baseball growing exponentially, the Minnesota Twins began using Databricks to improve their modeling capabilities.
Definitions
- data preparation
Data preparation is the process of gathering, combining, structuring and organizing data so it can be used in business intelligence (BI), analytics and data visualization applications.
- self-service business intelligence (BI)
Self-service business intelligence (BI) is an approach to data analytics that enables business users to access and work with corporate data even if they don't have a background in BI, statistical analysis or data mining.
- big data analytics
Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make informed business decisions.
Browse Business Analytics Topics
BI management
Get comprehensive information on business intelligence management, including news and news analysis stories, case studies, expert tips and more. Learn about important BI management issues that can determine the success or failure of business intelligence projects, including business intelligence strategy, best practices and project management. Read about emerging technologies and concepts such as operational, self-service and collaborative business intelligence. Get advice from business intelligence experts on key aspects of business intelligence process management, such as setting up and managing business intelligence teams and selecting vendors.
Recent Definitions
- data preparation
Data preparation is the process of gathering, combining, structuring and organizing data so it can be used in business intelligence (BI), analytics and data visualization applications.
- self-service business intelligence (BI)
Self-service business intelligence (BI) is an approach to data analytics that enables business users to access and work with corporate data even if they don't have a background in BI, statistical analysis or data mining.
- business intelligence architecture
A business intelligence architecture is the framework for the various technologies an organization deploys to run business intelligence and analytics applications.
Highlights
- Importance of analytics heightened by COVID-19 pandemic
- Using data for public good in fight for racial equity
- Baseball's Twins deploy Databricks to improve analytics power
More BI management Topics
- Business intelligence best practices
- Business intelligence case studies
- Business intelligence project management
- Business intelligence strategy
- Business intelligence team
- Operational business intelligence
- Selecting business intelligence vendors
- Self-service and collaborative business intelligence
BI technology
Get the latest information about enterprise business intelligence technology and platforms, including news on the latest business intelligence (BI) software, tools and applications, plus articles on business intelligence strategy and market trends with insight from industry experts. Learn how business intelligence vendors are reacting to the ever-changing industry with updates to their business intelligence product suites, and read news and articles on Oracle business intelligence platforms, SAP business intelligence platforms, Microsoft business intelligence platforms and IBM business intelligence platforms. Read about business intelligence case studies, fundamentals and best practices, find out how business intelligence relates to other disciplines and learn the advantages of business intelligence. Also, read about business intelligence reporting tools, open source business intelligence, Software as a Service (SaaS) business intelligence, real-time business intelligence and BI architecture, design, integration and development.
Recent Definitions
- data preparation
Data preparation is the process of gathering, combining, structuring and organizing data so it can be used in business intelligence (BI), analytics and data visualization applications.
- self-service business intelligence (BI)
Self-service business intelligence (BI) is an approach to data analytics that enables business users to access and work with corporate data even if they don't have a background in BI, statistical analysis or data mining.
- business intelligence architecture
A business intelligence architecture is the framework for the various technologies an organization deploys to run business intelligence and analytics applications.
Highlights
- Tableau 2020.3 highlighted by new data prep capabilities
- Baseball's Twins deploy Databricks to improve analytics power
- Maine state government modernizes with Oracle Analytics
More BI technology Topics
- Business intelligence architecture and integration
- Business intelligence development
- Business intelligence software
- Enterprise business intelligence reporting
- IBM business intelligence platforms
- Microsoft business intelligence platforms
- Open source business intelligence
- Oracle business intelligence platforms
- Real-time business intelligence
- SaaS business intelligence
- SAP business intelligence platforms
Performance management
Corporate performance management software and performance management concepts, such as the balanced scorecard model, enable organizations to measure business results and track their progress against business goals in order to improve financial performance. To help make your CPM strategy a success, get useful information and insight on performance management trends and the use of performance management technology, including CPM software, business performance management software, enterprise performance management software and forecasting, planning and budgeting software. Read news stories, case studies and other articles on the use of performance management tools, and get tips from business intelligence experts on performance management best practices and how to deploy a coporate performance management system. Also, learn about using a balanced scorecard methodology, managing a balanced scorecard implementation and developing performance management metrics.
Recent Definitions
- decision-making process
The decision-making process, in a business context, is a set of steps taken by managers in an enterprise to determine the planned path for business initiatives and to set specific actions in motion.
- corporate performance management (CPM)
Corporate performance management (CPM) is a term used to describe the various processes and methodologies involved in aligning an organization's strategies and goals to its plans and executions in order to control the success of the company.
- standard operating procedure (SOP)
A standard operating procedure (SOP) is a set of written instructions that describes the step-by-step process that must be taken to properly perform a routine activity.
Highlights
- Importance of analytics heightened by COVID-19 pandemic
- Ensuring predictive model accuracy in the age of COVID-19
- Implementing an analytics business plan requires commitment
More Performance management Topics
- Corporate performance management best practices
- Corporate performance management software
- Forecasting, planning and budgeting software
Analytics
Data analytics software and advanced analytics techniques can help organizations make sense of -- and gain a competitive advantage from -- all the data that they have in their systems. Get fully informed about the different types of business intelligence analytics that your company can take advantage of, including predictive analytics, text analytics and text mining, customer analytics and business intelligence data mining. Read news stories and case studies about data analytics vendors and the latest developments in business analytics and advanced data analytics technology, and get tips and advice from business intelligence experts on deploying and managing analytic business intelligence systems. Learn about topics such as unstructured data analysis, predictive data mining, customer data analysis, text data mining and customer data mining.
Recent Definitions
- data preparation
Data preparation is the process of gathering, combining, structuring and organizing data so it can be used in business intelligence (BI), analytics and data visualization applications.
- big data analytics
Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make informed business decisions.
- smart city
A smart city is a municipality that uses information and communication technologies (ICT) to increase operational efficiency, share information with the public and improve both the quality of government services and citizen welfare.
Highlights
- Tableau 2020.3 highlighted by new data prep capabilities
- Importance of analytics heightened by COVID-19 pandemic
- Using data for public good in fight for racial equity
More Analytics Topics
- Advanced analytics software
- Amazon Web Services (AWS) analytics
- Artificial intelligence and analytics
- Big data analytics
- Business intelligence data mining
- Customer analytics
- Predictive analytics
- Text analytics and text mining
Data visualization
Data visualization tools, such as data mashups, executive dashboards, performance scorecards and other data visualization technology, are becoming more popular among enterprises. Here you’ll find the latest news and articles on data visualization software, learn about techniques, strategies and best practices, and read about emerging trends in the data visualization market. Get best-practices guidance on how to create and set up data visualization applications and tools, and learn about interactive, real-time and multidimensional data visualization. Also, learn how different industries, including financial services, healthcare, retail and manufacturing, are using data visualization to reach their business goals.
Recent Definitions
- data visualization
Data visualization is the practice of translating information into a visual context, such as a map or graph, to make data easier for the human brain to understand and pull insights from.
- business intelligence (BI)
Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers and other corporate end users make informed business decisions.
- graph analytics
Graph analytics is a category of tools used to visually represent big data and apply algorithms to better understand the relationship between graph database entries.
Highlights
- Looker, Google unveil first collaboration since acquisition
- Geospatial data a means for deeper understanding
- 12 data visualization techniques for effective BI applications
More Data visualization Topics
- Business intelligence dashboards and performance scorecards
- Data mashups
- Data visualization software