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Lyndsay Wise

Hi and welcome to my blog! I look forward to bringing you weekly posts about what is happening in the world of BI, CDI and marketing performance management.

About the author >

Lyndsay is the President and Founder of WiseAnalytics, an independent analyst firm specializing in business intelligence, master data management and unstructured data. For more than seven years, she has assisted clients in business systems analysis, software selection and implementation of enterprise applications. Lyndsay conducts regular research studies, consults, writes articles and speaks about improving the value of business intelligence within organizations. She can be reached at lwise@wiseanalytics.com.

Editor's Note: More articles and resources are available in Lyndsay's BeyeNETWORK Expert Channel. Be sure to visit today!

September 2014 Archives

BI implementations are becoming more commonplace as organizations realize they cannot overlook the management of and access to their data in order to facilitate better decision-making. What this means for many is the re-evaluation of resources, skill sets, and project planning to ensure that the proper resources exist to support BI and analytics development. Unfortunately, many businesses overlook the fact that IT development expertise does not equal BI savvy. There are SMBs without the IT resources to facilitate a project but there are also companies with an IT department and developers on-hand, but without BI development experience or skills. The reason why this is an important consideration is because in order for solutions to be effective, they need to be designed right – and right includes understanding data, analytics, and design in a way that promotes BI best practices. In general, two types of organizations exist, and identifying and leveraging the right skill sets are equally important for both.

Organizations that don’t care

Businesses may feel that they don’t have the bandwidth to hire new people or to train existing staff. The problem is that risks increase as developers, already over allocated in many cases, struggle to get a solution up and running that they don’t understand. Although solutions will be developed and analytics access granted, there may be inconsistencies in performance, leading to the inability to access the data required when needed or to required functionality not being leveraged efficiently. Either way, organizations need to understand that investing in a BI initiative may require budget set aside for skill set development or outsourcing services.

Organizations willing to invest

Other organizations are willing to invest to make sure that their BI solutions are developed properly. In many of these cases, vendor professional services or outside consultants are used to develop the initial solutions to get BI up and running, or alternatively, to enhance what already exists. For these organizations it still becomes important to ensure that support exists on an ongoing basis or a transfer of skill sets occurs so that BI can be properly maintained moving forward.

The reality for organizations is that BI success requires specific skills and knowledge, and are not within the realm of a generalist to do effectively. Although many organizations attempt to go it alone, the reality is that businesses require an in-depth understanding of the technology and tools used in order to develop successful BI applications.

This post was brought to you by IBM for Midsize Business and opinions are my own. To read more on this topic, visit  IBM’s Midsize Insider. Dedicated to providing businesses with expertise, solutions and tools that are specific to small and midsized companies, the Midsize Business program provides businesses with the materials and knowledge they need to become engines of a smarter planet.

 

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Posted September 24, 2014 3:16 PM
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This is a question I’ve been asking myself for a while. The data infrastructure exists to support Big Data, operational data streams, data quality practices, and the list goes on. Best practices exist for organizations to follow to achieve a strong information management framework and tie data to business processes enabling decision makers the ability to take actions on the insights they’ve gleaned. A variety of solutions exist in the market place providing BI access to any type of user and that are geared towards a strong IT infrastructure or small business with little to no internal IT support. Additionally, organizations understand the value their data brings to the table. Yet, many companies still struggle with silos of data, lack of visibility, the inability to consolidate information assets and develop the essential correlations between the data they need to drive strategic business value.

 Despite all of these facts, the answers are still elusive to me. Sometimes I think that nowadays project sponsors think data management should be easier than it is and cut corners to ensure quick implementation times without weighing the facts surrounding how this will affect time to value. I have seen it many times with organizations that don’t conduct in depth requirements gathering or identify how business and technical requirements are developed to work cohesively together. I have also seen organizations select products based on marketing hype and end up with a subset of the capabilities they require. Within SMBs, there is also a mistake whereby organizations don’t take into account the expertise they require to develop a strong BI initiative and either do not want to invest in the right skill set or feel that the resources currently available can be used without the proper training.

All of these areas contribute to the confusion, but so does the market itself. There is very little that is available in the form of a series of best practices or guide that can be used on a broader level to guide organizations through the transition from traditional BI infrastructures and other traditional models towards agile solutions that help support organizations in this transition. After all, the complexities of data integration haven’t gone away despite the promise of automated processes, more APIs, and easier to use solutions. Luckily, as the market matures, businesses can start to benchmark against those with successful implementations. At the same time, it seems like an integrated approach to data management is still needed across the board to really help organizations support broader data management. Solutions are still piecemeal and full stacks are not always accessible.

Hopefully as the market continues to mature and as more organizations move towards an agile approach to their data management, there will be more success with data management as a whole. But this still requires better planning, knowledge of IT infrastructure options, and an understanding of the value data can bring to the organization if leveraged well.

This post was brought to you by IBM for Midsize Business and opinions are my own. To read more on this topic, visit  IBM’s Midsize Insider. Dedicated to providing businesses with expertise, solutions and tools that are specific to small and midsized companies, the Midsize Business program provides businesses with the materials and knowledge they need to become engines of a smarter planet.

 

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Posted September 19, 2014 1:32 PM
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