Re-Visualizing Business Intelligence, now let’s chat!

Re-Visualizing Business Intelligence, now let’s chat!Since it is the prerogative of a consultant to question and modify predominant jargon, I am hatting (yes, this too is an English word) …I am hatting myself in the hat of a consultant this morning, and I am questioning the application of the term "Business Intelligence." ###Details >

Can You Use Plug n’ Play Predictive Analysis? Yes!

Can You Use Plug n’ Play Predictive Analysis? Yes!What on earth is Plug n’ Play Predictive Analysis? It’s not a hot single from a new boy band! It IS a surprisingly simple business intelligence tool that can help you plan, predict, see patterns and trends and allow the average business user to function at a higher level with concise information that will help users to make good decisions. Sound good? It is! Trust me, I use it and it has elevated the work and accuracy of the business decisions made by my team!
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ElegantJ BI Announces Real Time Cube Capability for Swift Decision-making


ElegantJ BI announces Real Time Cube Management for its BI tools. In addition to its existing MOLAP architecture, and connection with MDX data sources like Microsoft® SSAS and SAP® BW cubes, ElegantJ BI now offers real time cubes to derive data for deep dive analytics in real time and make swift, confident decisions to benefit the enterprise.

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A Summary of the Myths and Confusion in Business Intelligence


Debunking Common Business Intelligence Myths

A Summary of the Myths and Confusion in the Business Intelligence Market

This article series is entitled 'Debunking Common Business Intelligence Myths'. The information presented in this, the seventh article of the series, summarizes the myths and cuts through the confusion to help you choose the right BI tool for your business and business users.

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Don't Create a Data Governance Tug of War between Financial Pros and IT Staff

The need to up-to-date, integrated information and analytical data is crucial to the success of the organization and certainly to the accountants, auditors, financial investment professionals and finance managers in any enterprise. But, in an age of user and data breaches, the IT team may be hesitant to allow meaningful, flexible access to critical business intelligence.
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Visualization CAN Replace Need for Ad-Hoc Analysis– Myth#3

myth summary1.1Debunking Common Business Intelligence Myths

Myth # 3: Business Users Do Not Need Ad-Hoc Data Analysis

If your business is confused about the tools in the business intelligence market, you are not alone. There are lot of options in the market today, which is great for the enterprise and its users, but the confusion that this marketplace creates can be daunting when it comes to making a decision about which solution is right for your organization and your business users. If your business has a self-serve business intelligence initiative, the confusion can be even more discouraging. How do you choose a tool that will live up to the hype and your expectations?

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Sandy's New Business Intelligence Ad-Hoc Reporting


Business Intelligence Ad-Hoc Reporting is Sandy’s Dream Come True My friend Sandy told me how difficult it is to get a report out of her business intelligence solution. She turns over the requirements to a data scientist or a programmer and waits days for the report. The resulting report is hard to read and the data is out-of-date, incomplete or unclear.
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(Most) Self-Serve BI Tools will Create Data Anarchy– Myth#2

Data Governance vs. Data AnarchyTrue Self-Serve BI Tools Will Compromise Data Governance

Debunking Common Business Intelligence Myths

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.

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InMemory Vs Managed Memory Computing

InMemory Vs Managed Memory Computing
Let me start with recent past or I would say past?Traditional business intelligence tools and corporate performance management solutions typically use an IO-based processing technique that makes the compilation and analysis of data a slow process. It limits processing and speed from hardware resources that use extensive IO to read and write to and from the disk. This challenge can be frustrating for users and for IT staff because it reduces productivity and can overwhelm systems during peak periods.
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How Can a Business Intelligence Tool Engender Employee Collaboration? It’s Easier Than You Think!

Many businesses look at Business Intelligence (BI) as a standalone solution that provides information to help the company better its business results. But, business intelligence serves another very important purpose. Take a step back and look at BI in a different way and you will find that a business intelligence solution can encourage and improve collaboration among team members and employees. Employee collaboration is key to enterprise success, because it ensures that team members are working together, with a common body of information, to make the best decisions for the business and to ensure success at every level of the organization.To use business intelligence tools in a collaborative way, the enterprise must select a BI and Corporate Performance Management (CPM) solution that is sophisticated, yet easy enough for every user and, most importantly, can be easily customized to satisfy the needs of every executive, manager, and without the need for analysts or IT professionals. When you introduce this kind of power and make it available to every employee, the business can empower team members to contribute to the bottom line and easily understand how their function and role fits into overall strategy and operational goals. Business intelligence tools can be used at the tactical, operational and strategic level to build a cohesive view of data, identify problems, forecast results and objectively measure goals, objectives and strategies.
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