Tips

Tips

• Top 12 business intelligence challenges to manage

  BI teams face various technical and project management challenges on deployments. Here are the top BI challenges, with advice on how to address them.  Continue Reading

• How to implement a business intelligence project in 7 steps

  The BI implementation process involves a series of steps that organizations need to take to ensure projects are completed successfully and meet business goals.  Continue Reading

• How to build an effective business intelligence strategy

  Explore the eight steps organizations need to develop and implement a successful business intelligence strategy, as well as some of the challenges staff can encounter.  Continue Reading

• 10 top benefits of business intelligence for companies

  By using BI tools to analyze data and drive better business decisions, organizations can improve their operations and gain the benefits and advantages outlined here.  Continue Reading

• Traditional BI vs. self-service BI: Differences and uses

  Traditional and self-service business intelligence are different approaches to BI initiatives. Here's what you need to know to decide which is right for your BI needs.  Continue Reading

• Evaluate 8 of the top embedded analytics tools

  Selecting the right embedded analytics tool for your organization can be difficult. Use general criteria to evaluate eight of the top options and decide if one is the right fit.  Continue Reading

• Understand the BI lifecycle to build an effective architecture

  Following and understanding the five steps of the business intelligence lifecycle is the foundation of a successful and effective BI architecture.  Continue Reading

• 4 types of simulation models used in data analytics

  Combining different types of simulation models with predictive analytics enables organizations to forecast events and improve the accuracy of data-driven decisions.  Continue Reading

• Decision intelligence changes operations across industries

  Decision intelligence speeds up the process of delivering data to decision-makers efficiently, improving operations across industries including retail, healthcare and trucking.  Continue Reading

• Top 4 self-service BI benefits for organizations

  Self-service BI tools benefit organizations in four major ways, including improved decision-making, organizational efficiency, increased collaboration and reduced costs.  Continue Reading

• Keys to building a successful business intelligence team

  Organizations looking to maximize BI use may consider constructing a business intelligence team consisting of four key roles -- the expert, designer, analyst and steward.  Continue Reading

• How to identify and implement embedded analytics opportunities

  Business users need to consider data science workflows and software development to identify opportunities for implementing embedded analytics for business value.  Continue Reading

• The benefits of embedded analytics

  The top business benefits of embedded analytics and BI include improving sales, gaining competitive advantages and getting maximum value from data to improve performance.  Continue Reading

• The business benefits of automating and embedding BI

  Automated insights and embedded BI are getting decision-makers the data needed to make quick decisions, accelerate business processes and lessen manual work required.  Continue Reading

• What is embedded analytics, and how does it benefit BI?

  Here are the benefits of data managers using embedded analytics capabilities to use interactive dashboards and reporting techniques within existing business applications.  Continue Reading

• 10 BI dashboard design principles and best practices

  BI dashboards are a key tool for delivering analytics data to business users. Here's how to design effective dashboards that can help drive informed decision-making.  Continue Reading

• Top data visualization techniques and how to best use them

  BI and analytics teams and self-service BI users can choose from various types of data visualizations. Here are examples of 12, with advice on when to use them.  Continue Reading

• 8 self-service BI best practices for larger organizations

  Self-service BI programs can streamline the analytics process, but scaling one out to thousands of business users requires proper planning and project management.  Continue Reading

• Data silos can live or die by a self-service BI strategy

  Self-service BI is a driving force behind the reshaping or possible demise of data silos. But sound data governance and corporate attitude adjustments are needed first.  Continue Reading

• 10 dos and don'ts for deploying self-service BI tools

  Self-service BI doesn't just happen. Organizations must ensure data quality and watch how analysts work. Experts offer 10 tips for enabling a self-service culture.  Continue Reading

• Hiring vs. training data scientists: The case for each approach

  Hiring data scientists is easier said than done -- so should you try to train current employees in data science skills? That depends on your company's needs, writes one analytics expert.  Continue Reading