Business Intelligence for Small Business

Business Intelligence for Small Business: It Really Exists!

Does Business Intelligence for Small Business Really Exist?

Just because a business is small, that doesn’t’ mean they are exempt from the problems of larger organizations, nor does it mean they have any less need to monitor and manage data and to understand results and plan for the future. If you are small business owner or manage and you think business intelligence for small business is out of your grasp because of cost or complexity, you will be pleased to know that BI for small business can and does exist and it is cost-effective and easy to implement and use.

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Augmented Data Discovery for Business Users

Augmented Analytics is Easy Enough for Business Users

Is Augmented Analytics Too Complex for Business Users?

The concept of Augmented Analytics may sound complicated (and it may, in fact, be a challenge for a software vendor to accomplish), but the new augmented data discovery tools are quite easy to use. Unlike the data discovery tools of old, business users do not need to look to the IT staff or data scientists to perform advanced data discovery.

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BI Tools with Easy Connectivity, Implementation and Training

Connect BI Tools with Business Software - Easily and Quickly

Does Your BI Tool Easily Connect to ERP and Other Crucial Software?

Today’s business enterprise does not want to settle. If you plan to implement or upgrade your business intelligence solution, you would understandably expect to be able to use the other solutions your business users depend upon. Best-of-breed or enterprise solutions like Tally® for accounting and financial management, or SAP or Navision for enterprise-wide management are just such examples of software and solutions you would want to integrate and include in business intelligence and advanced analytics.

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Assisted Predictive Modeling and Analytics for Everyone

Predictive Analytics for All

Need Analytics for Business Users AND Data Scientists? No Problem!

Does your business intelligence solution provide true advanced analytics capabilities? Can your BI tool satisfy the needs of business users, data scientists and IT staff? That may seem like a tall order but with the right business intelligence software, you can provide predictive analytics for business users, including assisted predictive modeling that walks users through the analytical process and allows them to achieve the best results without a sophisticated knowledge of data analytical techniques.

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BI for Customer Relationship Management

Capitalize on Analytics for Customer Relationship Management

Can Business Intelligence for CRM Help Attract and Retain Customers?

Customer service and customer satisfaction are the backbone of customer relationships. In an effort to ensure customer satisfaction and retention, businesses spend a lot of time trying to understand buying behavior, customer expectations for product support, website support and product and service variety, as well as gaps in product and service offerings.

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Why Do You Need Self-Serve Data Preparation?

Is Self-Serve Data Prep, REALLY Self-Serve?

Self-Serve Data Preparation Takes the Headache Out of Data Analytics!

Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. The idea behind self-service data preparation is to give the average business user the ability to prepare, use, report on and share data without the assistance of IT staff or analysts, thereby making their jobs easier and making every team member more of an asset to the organization.

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Social BI: A Recipe for Success

Social BI Helps Users AND Data Administrators

Social BI Guides Administrators by Highlighting the Type of Content Users Want!

Social networks and social media affect the lives of consumers and business users alike. Everyone knows them, and everyone uses them. Every aspect of modern life involves sharing and social interaction, Imagine an environment where business users can access a business intelligence and analysis portal and see popular data to rate, share and comment. This type of sharing can optimize resources by allowing users to access reports, dashboards and data that might be just what they need to complete a task or analysis. When you implement social media and social networking within the Business Intelligence environment business users can share, rate, discuss and learn from others.

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Is Self-Serve Data Prep the Same as Augmented Data Prep?

Self-Serve Data Prep is Possible and Wonderful!

Self-Serve Data Preparation and Augmented Data Prep Go Hand in Hand!

I was talking to a friend the other day and she shared with me her experience at a recent business intelligence conference. She was a bit confused by some of the terminology and we spent a few minutes parsing the terms and talking about the concept of self-serve data preparation. She was confused by the fact that self-serve data prep and augmented data preparation are often mentioned in the same discussion.

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ElegantJ BI Announces Social BI in Version 4.5 Business Intelligence Solution

ElegantJ BI Announces Social BI in Version 4.5 Business Intelligence Solution

ElegantJ BI recently announced the release of version 4.5 of its Business Intelligence and Corporate Performance Management suite, which includes major features and enhancements. The release of ElegantJ BI v4.5 represents another step on the path to enhanced self-serve BI tools to support the transition of business users to collaborative power users with powerful Social BI capabilities. In addition to its many new features and enhancements, ElegantJ BI 4.5 introduces Social Business Intelligence, to support data sharing, rating, collaboration and the emergence of data popularity.

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What is an Analytics Translator and Why is the Role Important to Your Organization?

What is an Analytics Translator and Why is the Role Important to Your Organization?

Today, enterprises recognize the critical value of advanced analytics within the organization and they are implementing data democratization initiatives. As these initiatives evolve, new roles emerge in the organization. The newest of these analysis-related roles is the ‘analytics translator‘. As the enterprise considers the relevance of this new role within the business, it is important to understand the responsibilities of an Analytics Translator, and how this role might help the organization to achieve its goals.

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