Tips

Tips

Enterprise business intelligence software and big data

• 4 cloud-based e-discovery strategies to target containerized data

  A cloud migration requires evaluating any existing information governance programs. E-discovery in the cloud and for container-based data platforms requires a detailed strategy.  Continue Reading

• E-discovery in the cloud introduces security, compliance issues

  E-discovery is still reliable for organizing and preserving data for legal compliance, but e-discovery in the cloud and container-based storage complicate governance processes.  Continue Reading

• Deploy RPA bots to clean legacy data

  Got data cleaning issues? Business improvement expert Dan Morris shares how his team is experimenting with RPA bots to clean and reconcile data.  Continue Reading

• Resist 'garbage in, gospel out' doctrine -- defend data quality

  The 'garbage in, gospel out' approach to business analytics may be a valid approach for doing big data projects, but CIOs should resist it for business transformation.  Continue Reading

• CIOs, the age of the algorithm takes hold -- for better and worse

  Tom Davenport and Bill Franks from the International Institute for Analytics give their expert opinions on where analytics is headed in 2018.  Continue Reading

• Time to replace 'corral and control' with a digital data strategy

  As data volumes explode and business uses for data increase, the old "data-first" mindset no longer applies. CIOs must develop a digital data strategy. Here is what's required.  Continue Reading

• How to monetize data

  CIOs are increasingly being tasked with capitalizing on company information. Learn how to monetize data in this report from Outsell's DataMoney Conference.  Continue Reading

• Six shifts that define enterprise digitization in 2020

  Before business leaders get dragged into conversations about how their company can be the "Uber of their industry," they need to agree on the IT and business trends driving enterprise digitization.  Continue Reading

• Bloomberg: Six gotchas that will upend your data science team

  CIOs, take a note: The head of data science at Bloomberg lays out six gotchas that could sink your big data project.  Continue Reading

• Enterprise data architecture strategy and the big data lake

  Today's enterprise data architecture strategy has to address how to align existing data systems with growing information needs, capabilities and data sources.  Continue Reading

• AI technology: Is the genie (or genius) out of the bottle?

  Artificial intelligence has come a long way since SearchCIO columnist Harvey Koeppel studied with some of the discipline's pioneers. He offers 10 steps CIOs must take now to prepare for the AI technology era ahead.  Continue Reading

• Microsoft, VMware, Cisco experts vet the cloud for CIOs

  What factors do CIOs weigh when choosing between public and private cloud? Is PaaS the future? Is it time to bring back that cloud deployment? Cloud experts offer insight to CIOs.  Continue Reading

• Is text analytics the next BI beachhead for CIOs?

  Is it time to bring text analytics in-house? A director of analytics at Visa advises CIOs to consider these three questions before making a move.  Continue Reading

• Three steps to a coherent digital customer strategy

  CIOs and their application teams need to help their businesses develop a coherent digital customer strategy. Forrester Research's Stephen Powers and Mark Grannan outline the tools required to manage, engage and measure digital customer experiences.  Continue Reading

• Seven data science lessons from McGraw-Hill Education analytics guru

  What programming language should every data scientist know? How should data scientists be trained? Why do you need more women on your team? McGraw-Hill Education's Alfred Essa answers those questions and more.  Continue Reading