Problem solve

Problem solve

Get help with specific problems with your technologies, process and projects.

• Top 7 data preparation challenges and how to overcome them

  Data preparation is a crucial but complex part of analytics applications. Don't let seven common challenges send your data prep processes off track. Continue Reading

• Generative AI can improve -- not replace -- predictive analytics

  Generative AI improves predictive analytics through synthetic data generation. Managing data bias and ethical AI risks can enable GenAI to widen the scope of simulated outcomes. Continue Reading

• Experts lay out data illiteracy's dangers, propose remedies

  In this excerpt from their new book 'Data Literacy,' top data management experts Peter Aiken and Todd Harbour outline a new way to gauge data learnedness. Continue Reading

• Top 8 business intelligence challenges and how to handle them

  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

• Overcoming the top 3 analytics adoption challenges

  Analytics is a growing part of many businesses. Experts talk about some of the most pressing challenges enterprises may face when implementing new analytics strategies. Continue Reading

• COVID-19 data resources for volunteering data scientists

  Many data scientist are looking to research the novel coronavirus and ways to fight the continued outbreak. Read on for the top COVID-19 data resources for volunteer researchers.Continue Reading

• Governance, compliance, ethics in data mining: Separate but equal

  In the ethical mining and analysis of data, governance, compliance and ethics are mistakenly taken as one in the same. Data managers need to be aware of the critical differences.Continue Reading

• What data management challenges do analytics programs face?

  Expert Anne Marie Smith shares five reasons why organizations' analytics programs might fail and how a data management framework and other programs can help.Continue Reading

• Customer analysis a winning play for 'Candy Crush Saga' maker

  King Digital Entertainment was losing players of "Candy Crush Saga" at an early stage in the online game -- a problem it solved with help from a customer data analytics project.Continue Reading

• Design a business intelligence system properly -- for business users

  Rick Sherman explains how to avoid common mistakes when planning and designing BI systems, saying that the varying needs of different business users must be front and center.Continue Reading

• Businesses look for tech solutions to big data security issues

  The growing adoption of big data analytics applications is complicating data security challenges -- and creating a need for new security strategies.Continue Reading

• Coca-Cola overcomes challenges to seize BI opportunities

  The Coca-Cola Co. understands that analytics challenges can be overcome and that a team approach helps businesses take advantage of BI opportunities.Continue Reading

• How to leverage agile BI to help your BI architecture

  Learn how to leverage agile BI to help with your business intelligence architecture. Find out why you should split your BI architecture into two categories -- data integration and BI applications.Continue Reading

• Customer data you should collect for your customer analytics program

  Every piece of customer data you can collect is potentially important to your customer analytics program, according to customer data analytics expert Richard Snow. Find out why.Continue Reading

• The most effective form of Excel spreadsheet management for BI, CPM

  Get advice on proper Excel spreadsheet management for BI and CPM projects in your organization. Learn when spreadsheets should be used for business analytics – and when not.Continue Reading

• Is your company primed for social media analytics?

  Are some companies primed to get more use out of social media analytics than others are? Find out, plus learn how a social media analytics strategy compares to BI strategies.Continue Reading

• Seven aspects of a successful business intelligence (BI) architecture

  Knowing what makes for a successful business intelligence (BI) architecture can help you plan and expand your current BI system. Learn what your BI architecture should include.Continue Reading

• Real-life examples of effective dashboard design

  Browse through these optimized dashboard examples from BITadvisors, Inc., including examples of strategic, tactical and operational dashboards. Find out how to encourage interactivity in dashboards and how to set up your dashboard.Continue Reading

• Data warehousing, data mining and data querying: Terms and definitions

  Learn the difference between data warehousing, data mining and data querying.Continue Reading

• Data mining tools: Advantages and disadvantages of implementation

  Learn the advantages and disadvantages of data mining tools and of implementing data mining technology.Continue Reading