We’re happy to answer your questions

At d-Wise, we believe in direct communications and the value of listening to our prospective clients before we make any recommendations.

Accordingly, we offer you a chance here to ask a question on the topic of your choice.

We do have a proven methodology/assessment process that has contributed significantly to our success over the years. That process is described below. The process identifies the potential gaps that may currently exist in your data integration and the challenges of managing that data. It identifies problems on the operational side of the business (systems, processes, structure, etc.) that might limit your ability to collect the essential information to perform advanced analytics and drive financial performance.

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Analyze Business User Needs

Those who work with the data every day are the individuals who offer the most insight into where and how the problems occur and how the current state of data in your company prevents them from successfully being able to execute. In this part of the Assessment, d-Wise will determine how well managers and analysts understand the scope and direction of analytics, as well as the current obstacles in your data environment preventing them from achieving the analytic goals of the organization.

Identify Analytical Goals of Leadership

Any transformation effort must be driven top-down. As such, the first part of the Assessment involves d-Wise engaging with senior leaders not only on IT, but with other business leaders throughout the company to identify the types of analyses the organization needs to perform, the types of data it desires to deliver to external customers, and where the business wants/needs to head in the future. The processes that produce the information necessary to perform these analyses are also identified along with any improvement or redesign opportunities. Designing a data warehouse or repository (or any other data solution) without this knowledge often leads to reporting and analytic limitations, warehouse redesign, and user frustration.

Evaluate Data Infrastructure

The only way to bridge the gap between what leaders want to accomplish from a business and analytic standpoint, and what the analysts are currently able to deliver, is to fully understand your company’s data infrastructure. This means starting with data available on the system(s), and then expanding out to the applications that are integrated with or designed to support the system(s) and other main functions within the company. This stage of the Assessment is not an analysis of the strengths and weaknesses of the hardware or software the company uses, but whether or not the data that exists can support the analytic needs of your company.

Identify Data Gaps in Process

Work gets done within an organization by individuals interacting with technology. Any action or task within that process generates data about the business, the performance of the process, or both. If a system or application is designed to capture a certain data element but doesn't, the breakdown is not in the data, but rather in the process. d-Wise process experts spend time determining the root cause of data issues and make recommendations for improving the ability of existing applications and processes to produce the data necessary to build the data warehouse in a way to support all downstream reporting and analytic requirements.

Summarize Findings and Recommendations

Up to this point within the Assessment, we have identified a strategic direction for reporting and analytics and identified the essential data gaps that exist in order to execute. Now, it is necessary to incorporate this understanding into our determination of which tools are best suited to the needs and abilities of each group of analysts. The benefits gained by developing an enterprise data platform can only be realized if the business user can leverage that data. Leveraging the data means business users are able to obtain quality information quickly, with little or no need to transform it further for analytic purposes. Those transformations should be performed as part of the overall data strategy and incorporated in the data warehouse or repository or some type of standardized reporting mechanism. Different tools and technologies are better than others depending on what the business user needs to accomplish. The tools needed to access this data might be different depending not only on the needs of each group, but on their abilities to work with the tools as well.

Implement Enterprise Platform

The basic process d-Wise follows to implement a data warehouse includes four steps:

  1. Profile the data – We study and understand all sources of current data. In addition, we identify potentially new sources of data that are necessary to achieve the analytic vision.
  2. Consolidate the data – Put all of the data into one central repository where it can be easily maintained, with one single point of access and control.
  3. Integrate the data – d-Wise will build a data warehouse or repository that cleanses and enhances the data. We ensure common definitions are developed between different regions and various business groups. Then, we optimize the data for business users in such a way that makes acquiring data, in the form it is needed, easy. Our team will make sure to not only integrate data across systems and applications, but across the various BI technologies as well.
  4. Continually improve the Platform – The day after the release of a data warehouse or repository, the needs of the people using it will change and grow. Partly due to changes in the industry or your business model, and partly due to intellectual curiosity about what can be done. Rather than thinking about how you will get the data after the fact, you should demand the data warehouse or repository be a forethought in the development of any new application or process.