Big Data
Big DataLinking data management to business intelligence
The success of BI depends upon accurate and well prepared data. Here are some tips to avoiding poor BI data influencing analytics results.
Mary E. Shacklett is president of Transworld Data, a technology research and market development firm. Prior to founding the company, Mary was Senior Vice President of Marketing and Technology at TCCU, Inc., a financial services firm; Vice President of Product Research and Software Development for Summit Information Systems, a computer software company; and Vice President of Strategic Planning and Technology at FSI International, a multinational manufacturing company in the semiconductor industry. Mary is a keynote speaker and has more than 1,000 articles, research studies, and technology publications in print.
The success of BI depends upon accurate and well prepared data. Here are some tips to avoiding poor BI data influencing analytics results.
Are the best project managers risk managers?
Many companies have implemented business intelligence in a piecemeal way, but should they have an overarching strategy?
No-code and low-code apps are thought of as IT-free ways for users to get apps to market quickly. Are they?
Text analytics is still relatively new for most companies. What do we know so far about what has worked?
Small and mid-sized organizations are finding it hard to hire a separate CDO to steward their data as part of their digitalization strategy. How can they administer their data?
The cloud is a popular destination for Internet of Things storage, but it doesn’t work in every use case. What’s the best way to develop your edge IoT storage strategy?
The beauty of the Internet of Things is that it can operate on the edge and in the field, but how do you keep it going to minimize failures?
What you look for when you host big data operations on the cloud is decidedly different from what you look for with the hosting of normal apps and data.
In a multi-cloud, multi-data center environment, IT needs new methods for tracking and troubleshooting applications. Observability tools can provide that.