Lyndsay.Wise

Contributor

Lyndsay Wise joined EMA in 2015 as Research Director for Business Intelligence (BI) and Data Warehousing, focusing on data integration, data governance, cloud technologies, data visualization, analytics, and collaboration. She has over 10 years experience in software research, BI consulting, and strategy development, specializing in software evaluation and best-fit solution selection.

In 2007, Lyndsay founded WiseAnalytics, a boutique analyst and consulting firm focused on business intelligence for small and mid-sized organizations. WiseAnalytics covered research areas related to data visualization, analytics, BI in the cloud, and implementation strategies for mid-market organizations. She provided consulting services as well as industry research into leading technologies, market trends, BI products and vendors, mid-market needs, and data visualization. She brings this expertise to EMA to extend the consulting activities of the business intelligence research space.

In 2012, Lyndsay wrote Using Open Source Platforms for Business Intelligence: Avoid Pitfalls and Maximize ROI to help provide organizations with the tools needed to evaluate open source business intelligence and make the right software decisions. In addition, she has contributed to Information Management, InsightaaS, TechTarget, Dashboard Insight, B-eye-Network as BI for mid- market channel expert, and other online publications over the past 10 years, providing best practices and advice related to business intelligence technologies and market trends.

Before working as an industry analyst, Lyndsay worked as a business analyst within the Ontario government (Municipal Affairs and Housing, Canada) focusing on business process optimization, systems analysis and design, and property management software implementation across 33 housing authorities. Lyndsay also worked as a business systems analyst at Toyota Canada, Inc., where she worked with the data warehousing team to develop and deploy OLAP and ad-hoc reporting solutions to various departments.

The opinions expressed in this blog are those of Lyndsay Wise and do not necessarily represent those of IDG Communications, Inc., its parent, subsidiary or affiliated companies.

Articles by Lyndsay.Wise

Understanding data governance
Insights into BI Trends and Strategy

Understanding data governance

This highlights the importance of data governance. Defined by The Data Governance Institute as “a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.” Stated more simply, data governance includes the processes and framework involved in managing data assets.
September 6, 2016
Insights into BI Trends and Strategy

Aligning strategy with data management

Many organizations struggle with their data. But more than that, they struggle with effectively managing their information assets and tend to overlook the key role that people play in this initiative. This article looks at the importance of data within an organization, but also how corporate culture plays an intrinsic role. People, processes and technology need to be integrated in order to create an effective and lasting data management strategy.
June 13, 2016
How the needs of mid-sized organizations help drive analytics accessibility
Insights into BI Trends and Strategy

How the needs of mid-sized organizations help drive analytics accessibility

Much of my focus within the business intelligence market has been covering the technologies, offerings and analytics adoption of small and mid-sized organizations.* During the past several years, I have noticed a large market shift benefiting mid-sized companies and opening up business intelligence in a way that was previously not available.
March 28, 2016
Evaluating business intelligence in the cloud
Insights into BI Trends and Strategy

Evaluating business intelligence in the cloud

Many organizations struggle with their cloud business intelligence implementations. Here are the key considerations to look at before embarking on your own cloud BI initiative.
March 9, 2016