• Votes for this article no votes for this yet
  • Dashboard Insight Newsletter Sign Up

Data Analytics

by Steve BogdonThursday, December 2, 2010

Data AnalysisThis December Dashboard Insight is focusing on Data Analytics, which can and should lead to faster, better business decisions.

We have a full month of articles lined up that will offer an in-depth look at all aspects related to Analytics - and we're always curious about analytical topics that Dashboard Insight readers will find useful.

This month we'll be seeking answers to questions like: "What is Data Analytics?” and “How does Analytics help me understand my business?”  We've also been asking: "Can Analytics help me plan for tomorrow?” 

Data Analytics can be a confusing topic for BI beginners, and we will strive to shed some illumination on this confusion.  Seasoned business intelligence professionals may also learn a thing or two about data analytics!

Follow along this month as we delve into the world of data analysis.


Data Analysis Overview

The nature of data analysis varies, and correlates to the type of data being examined. For example, a business may concentrate on things such as determining employee performance, sales performance by department or sales person, etc. An economist, however, might look for identifiable patterns that explain the spending habits of various consumers.

by: Martin Eising, Dundas Data Visualization

The Right Path for Data Migration Success

Applications will come and go, but it’s the data that really matters. When you embark on an application retirement or data management project, you need to ensure two things. First, that the data migration runs smoothly. Second, and most important, that the environment you develop for accessing the data following the migration is as efficient and easy to use as possible.

by: Howard Sherrington, NSC Group

Business Intelligence now in the Operational Trenches

The awareness of Business Intelligence (BI) has moved far beyond the borders of the boardroom. The most junior of employees and low-level workers now interact with operational dashboards that contain built-in quality management or decision support (DSS) functionality. This functional mix of operational capability and DSS is empowering human resources on the front line of business operations. With “just in time BI”, employees that function in high-touch customer facing roles (such as a customer service representative in a call center) have in many cases become just as empowered as senior executives!

by: William Laurent, William Laurent, Inc.

Text Analytics for Smarter Search

Informed decision makers are good decision makers. Sadly, many are not fully using the knowledge within the organization because they can’t find it. Traditional enterprise search and content management systems attempt to solve the problem of locating information, but it is only when information access is coupled with knowledge management and search that we achieve enterprise “findability.”

by: Cailyn Clark, SAS

Data Analysis for the Masses

The evolution of business intelligence (BI) looks a little something like this. In the beginning, BI was really about the data warehouse – the building of schemas, data marts, and the like – with data analysis involving OLAP (online analytical processing) tools to look at information in multiple dimensions. This model of development and deployment meant that only a select group of employees could take advantage of the analytics developed by IT. Consequently, BI’s bottom line was one of high costs, large IT integration requirements, and limited business benefits.

by: Lyndsay Wise, Wise Analytics

How Accurate Analytics Drives Mobile Marketing Success

t should come as no surprise that when evaluating mobile campaign performance, accurate and independent measurement is the key to success. Last year Bango surveyed leading brands to reveal data integrity as one of the three ‘most wanted’ if mobile is to capture a higher share of on-line marketing budgets.

by: Vanessa Daly, Bango

Prepackaged Dashboards Or Adhoc Analysis: What's The Best ?

When you provide pre-packaged dashboards, people want to be able to do ad-hoc analysis. When you give them a powerful BI tool for great ad-hoc analysis..they want pre-packaged dashboards. So what is the best solution, to provide one or the other, or both?

by: Kirsty Lee, We Are Cloud

Are Analytics Ready for the Masses?

The biggest hurdle to meaningful analytics is usability. Operational decision making knows no hierarchy, yet analytics are still the privilege for an elite academic or technological few. As Forrester Analyst James Kobielus wrote in a recent blog: “The core problem with today’s advanced analytics offerings is that many of them are power tools, not solutions suitable for the mass business market. Their core user base consists of statisticians, mathematicians, and other highly educated analytics professionals.”

by: Wayne Morris, myDIALS Inc.

BI Analytics Considerations

One of the positive aspects of implementing BI is the ability to constantly improve upon access to analytics, end user interaction, and overall use. Due to increasing storage capabilities, enhancements in features and functionality, and flexibility in deployment methods, organizations have more to consider when looking at expanding their current solutions. In addition, when looking at BI analytics specifically, businesses are tasked with taking into account what types of analytics they want to apply and what data is the best to use as a starting point.

by: Lyndsay Wise, Wise Analytics

Can Business Analytics Outperform Humans at Multitasking?

Science is proving that people underestimate how well they can multitask – doing or thinking about multiple things at the same time. People are actually fairly poor at it. Can analytics-based performance management software accomplish what the human brain cannot? In other words, can the portfolio of integrated methodologies that comprise the performance management framework embedded with business analytics behave like bees of a beehive or ants of an anthill, where each of the workers seems to instantaneously know what they should be doing for the good of their group?

by: Gary Cokins, SAS

Data Predictive Analytics Takes Center Stage with PMML

Business Intelligence (BI) is by nature a discovery process. It is about the uncovering of previously hidden trends, behaviors and meanings from enterprise data, and the follow-up distribution of this new actionable knowledge. While BI perpetually carries out its uncompromising spread into every corporate business segment and industry vertical, predictive analytics and modeling has assumed an increasingly visible and essential role. The practical applications for predictive analytics are infinite—from trying to foresee future consumer behavior, to envisioning the probability of a terrorist attack, and everything in between.

by: William Laurent

There is More to Data Integration than ETL

Data integration can be as simple or complex as an organization demands. Successful data integration projects allow data to be accessed, profiled, enriched, de-duplicated and consolidated to provide a single view of customers, products or operations. With multiple data integration strategies to choose from, many organizations automatically look to ETL (extract-transform-load). While being the most common approach, ETL may not be the best one for a specific business. There are numerous data integration options available today, including ELT (also known as in-database or SQL push-downs).

by: Daniel Teachey, DataFlux

Using KPIs To Identify Trends In Performance

rganizations are increasingly fascinated with dashboards due to their ability to quickly visualize data in an interactive and appealing manner. As technology becomes easier to interact with, consumer expectations change. No longer are year long analytics implementations acceptable for businesses looking at how they can gain more visibility into their daily operations and better manage their data and overall performance. Now, organizations look at dashboards as a way to gain quick insights into what is happening within their company.

by: Lyndsay Wise, Wise Analytics

10 Signs You Need A Big Data Retention Solution

Big Data is not only an IT challenge in the context of harnessing the growing volume of data across multiple enterprise applications for improved reporting and analytics but is more often discussed in the context of managing and retaining critical data for much longer time-periods and scaling enterprise systems to accommodate future growth in the most cost-efficient manner.

by: Raymon Chen, RainStor

The Tipping Point for Analytics-based Performance Management

How does an organization decide to implement analytics-based performance management system methodologies? To answer this we can learn a lesson from the Malcolm Gladwell, a social scientist and author of best-selling book The Tipping Point, who describes how changes in mindset and perception can attain a critical mass and then quickly create an entirely different position of opinion. Let’s apply Gladwell’s thinking to the question of whether the widespread adoption of analytics-based performance management is near its tipping point or whether we will only know this in retrospect after it has happened.

by: Gary Cokins, SAS

Open Source Solutions Managing, Analyzing and Delivering Business Information

The report presents conclusions and recommendations based on a survey about open source software for reporting and analytics. It covers all parts of the data warehouse stack from the database to end‐user delivery. It is written for business and technical managers who are responsible for delivering reporting, business intelligence (BI) or analytics, whether part of a BI program or embedded in applications and websites.

by: Mark Madsen, Third Nature

How SaaS Has Changed The BI Landscape

Until recently, traditional business intelligence applications led the way for companies looking to apply analytics within their organizations. Businesses looking for alternatives to large data warehousing and BI infrastructures were hard pressed to find alternatives outside of open source offerings. As enterprise organizations became more mature in their BI use, solution providers started to expand their offerings towards a broader audience. One of the outcomes is the proliferation of Software as a Service (SaaS) for BI and analytics, which has led to a slow and steady change in the way BI is offered and has changed expectations of organizations in relation to business intelligence due to increased flexibility and ease of delivery.

by: Lyndsay Wise, WiseAnalytics

Beyond Clickstream: Keeping Pace with Web Analytics

Whether specializing in shoes or cellular phone service, auto insurance or auto parts, businesses everywhere seek to better understand their customers—what they buy, how they evaluate products, what they like and dislike. And ever since the first online shopper pointed and clicked to make a purchase, the Internet has opened perhaps the largest window in recent memory on what consumers are doing and thinking. Mining clickstream data has become de rigueur for companies seeking intelligence about their customers, with wide variation in terms of analytic sophistication.

by: Susan Davis, InfoBright

Is Business Analytics Just Another Passing Fad?

Some of my most enjoyable years of my work career were employed as a consultant with Deloitte. Although they were from 1982-88, I remember them well as a formative period. I proudly refer to myself as a Deloitte alumnus comparable to a graduate from a university, and I enjoy receiving Deloitte’s newsletters. One of their communications is “Deloitte Debates” that recently posed a question if business analytics is another passing fad. Since I am a believer that applying business analytics is a competitive edge game changer, I was glad to see supportive replies from their leaders.

by: Gary Cokins, SAS

Using Analytics

When companies think of using OLAP, they may conjure up images of statistical or other analysts frantically manipulating data and trying to identify the reasons behind various performance mysteries. Luckily, the use of analytics helps organizations transition from dealing with problems in a reactive manner towards identifying discrepancies before they become issues affecting the overall performance of the business negatively. The use of OLAP specifically, helps organize disparate data sources into one cohesive look at a business unit or problem while taking into account the external factors that may affect performance. Instead of developing a set of ad hoc reports or metrics-driven dashboards, OLAP lets people interact with data on a deeper level.

by: Lyndsay Wise, Wise Analytics

Making the Case for Self-service Analytics

Business professionals today are inundated by a mass of standard, canned reports that have been produced in a central location, using centralized data owned by a centralized organization. Rather than empower these professionals to make better, more informed decisions, these reports often serve to distract and confuse an already challenging job.

by: John Callan, TIBCO Spotfire Inc.

Mobile Business Intelligence & Analytics

With the advent of the mobile phone a fundamental shift occurred in telecommunications. You no longer called a place but you called a person. The internet provides an even greater degree of interconnectivity, and it is these changes which are having a profound impact on businesses and the way in which they manage their people mobile or otherwise and the access that they provide to their data assets. This white paper addresses these changes and discusses the impact it is having on business information delivery.

by: Catriona McGauchie, Yellowfin

Dashboard Insight will be adding "Data Analytics" articles all month.

Please check back often.

Data Analysis


Tweet article    Stumble article    Digg article    Buzz article    Delicious bookmark      Dashboard Insight RSS Feed
 
Other articles by this author

Discussion:

No comments have been posted yet.

Site Map | Contribute | Privacy Policy | Contact Us | Dashboard Insight © 2017