Business Intelligence is a powerful tool, designed for the modern business environment.
One of its primary goals is to enhance performance evaluation, by utilizing benchmarking, data visualization, measurement analysis, data mining, all combining to facilitate your organizations’ requirements for forecasting the future trends in your industry and thereby optimizing informed, data-driven decision-making at all levels of your business. Continue reading this post>>
Budgeting Workflow is the process of formalizing the flow of budgeting approvals throughout the organization. It is a process in itself that typically starts with corporate allocations for the new budgeting year. The workflow outlines who in the organization is responsible for approving specific sections of the budget. Modern budgeting workflow systems allow management to assign budgeting tasks to certain employees. Once those employees enter their budget numbers, they are then submitted to the next person in the workflow process for approval. This process moves forward until the budget is finally approved by the person responsible for the entire company’s budget. This is typically an executive, or group of executives within the organization. Continue reading this post>>
First let me start off by defining Business Intelligence as defined by Business Journal International Weekly. “Business Intelligence is a set of theories, methodologies, processes, architectures and technologies that transform raw data into meaningful and useful information for business purposes.” Over the past 10 years business intelligence has soured in popularity to what is now, a $15.8B a year business, with an estimated 55 percent of companies today using some form of Business Intelligence or Business Analytics solutions. According to Gartner, “by the year 2020 researchers show an estimated 75% of companies globally will rely on Business Intelligence to run their companies.” Who would have thought this number would get so high? Continue reading this post>>
Data analysis is considered to be a core component in business intelligence systems. The importance of data analysis pushes some company leadership to opt for outsourced data analysis while other business leadership prefers to stick with in-house data analysis. Let’s first take a look at the role of data analysis in business intelligence. Data analysis converts raw data gathered using different tools into meaningful data, which is usually presented to managers through reporting tools, and will aid managers in decision making. Ultimately, good data analysis leads to good decision making and successful business practices.
Over the years, there have been several forces behind the surge of mobile devices. With the influx of devices in today’s market, unlike the limited options you were once faced with, now there is something for everyone no matter your style, color, or operating system preference. On top of this is the introduction of Quadcore to tablets, 4G, and the continuous adoption of HTML5. This proliferation of devices gave rise to the phenomenon of BYOD.
With the emergence of this trend, businesses realized they had decisions to make and quickly: Do they stick to their current policies and only support company issued devices? Do they adjust their current strategies and infrastructure to support new BYOD policies? In hindsight, with the growth of BYOD, lurks the inevitability of having to create apps for each screen for the large number of devices, which is not only time consuming but requires resources. In the end, companies want end users to be happy and productive while ensuring your IT departments sanity.