Business intelligence preparations include data readiness

Companies around the world are transforming their operations through the application of modern and advanced business intelligence (BI) solutions. The businesses that are most successful in this regard will likely be those that prepared for implementation and stayed aware of the process at every step. According to BI Trends and Strategies, there are specific things that can go awry when companies attempt to increase their analytics strategies to incorporate big data. Overcoming these setbacks could be the key to unlocking value.

Updating to improve operations
The source noted that parts of corporate infrastructure that were perfectly satisfactory in years past are no longer nearly as helpful in the era of increased data speed and scale. Extract, transform and load functions designed to unite figures from various information warehouses are slow, and in modern systems, speed is at a premium. The movement of data from collection to usage is a serious challenge for companies, and making connections more effectively could be the next step.

BI Trends and Strategies explained that one of the new issues with data preparation may come from the expansion of business intelligence systems to more users within the company. Self-service BI and analytics can bring increased agility, as business employees no longer have to wait for help from the IT department to complete analyses. They can also decide on processes that are important to them in particular.

All of these new end users means demand for a constant stream of updated information relevant to different sections of the company, all delivered to many different locations at once. Strengthening data delivery systems to suit this model could be a great first step toward making implementation work.

New types of project
More information access will become increasingly important every time a new BI user joins the fold. Smart Data Collective contributor David Elliott recently explained some of the changes companies need to undergo when they add self-service BI components to their analytics programs.

While technology will doubtless play an important role in this process, Elliott also explained the things IT workers have to do to make sure the expansion of BI to business departments is a success. He stated that the fact that IT workers are no longer the sole custodians of analytics does not mean they have to leave the technology behind entirely. Elliott noted that the IT section should stay focused on keeping the data in working order and training new users in BI.

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