Small and medium sized organizations often give up on the idea of business intelligence and corporate performance management, because they believe that the BI tools and solutions are too expensive and complex to implement and that their organizational structure and processes is simple enough to manage without these types of tools.
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There has been a lot of talk about data democratization and self-serve business intelligence (BI). There are many reasons why BI vendors and customers are interested in self-serve BI tools. For BI customers, the need to involve all team members in driving business results is a no-brainer. For BI vendors, the need to satisfy customer demands is also a no-brainer. So, why does it seem to be taking so long to get to achieve true BI self-service?
When you engage an offshore service provider, you must predict measurable results and achievements in order to justify the cost of acquiring the service. Ideally, the value of the service should exceed, or at the very least, be equal to, the monetary investment. If the value of a service or product is particularly unique, the organization may be willing to pay more for that service or product. This document includes some recommended value factors for your consideration. We have also included two approaches to analyze vendor value. One is a ‘risk’ assessment and the other is a ‘weighted value’ assessment. You may use one of these two methodologies to calculate the value of a vendor service offering versus the quoted cost or fee.
There is nothing wrong in being able to price low and selling at half or less than half the price as long the service quality is at least 80% of the sustained market price.Low priced services offering matching quality often tend to be disruptive to the markets and customers benefit significantly from what has to be done.
However, being simply low priced and expecting the economics and sociology to work on its own is something that will equate to having one size fits all approach to business.
Handling large amounts of data for business analytics can be challenging. To defeat data overload and manage those mountains of data, you need smart aggregation and consolidation of relevant data encompassing appropriate contextual information over a relevant period.
New BI tools have made this job easier with deep dive technology that enables simple analytics and allows you to leverage sophisticated tools, in an easy-to-use environment so that you can not only report on your data but you can get to those hidden nuggets of data that will have the most impact on your organization.
A survey over 1,200 mobile apps by 26 privacy regulators from the world has shown that a high number of apps are accessing large amounts of personal information without adequately explaining how people’s information is being used.
