Survey Participants were asked to rate items relative to how their organization found certain factors to be importance in achieving success in BI efforts.
ElegantJ BI team is glad to announce that ElegantJ BI has been mentioned in Gartner’s Market Guide for Enterprise-Reporting-Based Platforms published just yesterday!
Also, ElegantJ BI is mentioned in the list of “Other Modern BI Platform Vendors” in Gartner’s Magic Quadrant for Business Intelligence and Analytics Platforms Report – 2016 published earlier this month!
According to a report by the International Data Corporation (IDC), The BI Tools market in Saudi Arabia is expected to expand at a compound annual growth rate (CAGR) of 19.4%.
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Every organization has to juggle information. Information and data come from every corner of the enterprise, and can include databases, data warehouses, best-of-breed systems, legacy systems, and specialized systems like ERP, HR, Finance, Accounting, Warehousing and others. Important data is also contained in spreadsheets, email, documents, partner and supplier systems and other sources.
BI tools and mobility are not mutually exclusive! Most of today’s BI tools vendors claim to support Mobile BI. But when you actually look at the tools, you find that development, publishing, usage scenarios, usability, and effectiveness, fall far short of comprehensive mobility support.
Dashboards designed by most of the BI tools do not allow intuitive navigation or access on all types of devices and screen sizes.
Products that have become too complex to management, services and SILO’s that’s just patched and patched and finally makes no sense or outright crazy to manage.
These are all cases for re-engineering.
Re-engineering happens to be effective adaptive word for systems re innovation, a simple example can be found in the banking systems.
They are doing essentially the same thing, but operating more efficiently.
That’s one of the goals of re-engineering.
Speaking of banking example, banks decided at some point that the majority of the transactions involving cash can be optimized by putting an automated teller machine. So the resource called cashier had much less to do and the customers who were there only for cash withdrawal can now, just use the ATM’s and be out of the system.
Data democratization does not involve the process of diversifying data so that there is something for everyone. It involves the democratization of meaningful ACCESS to data! If you don’t think your business users need data, you need to think about the tasks you assign these users every day. We live in an era of employee accountability and empowerment and most enterprises have already realized the need for access to data and the ways in which business users can leverage this data to fulfill their role, accomplish activities and sustain performance.
Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance
Today’s business intelligence market offers many options! But, never every business intelligence solution can help your self-serve initiative succeed. When an enterprise undertakes a business intelligence initiative or wishes to improve or upgrade its BI tools, it is easy to get lost in the hype and myth surrounding the market.
If your organization finds it difficult to sort through the buzz and choose the right BI tools, we are here to help.
