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Wayne Kernochan

Using NoSQL Databases to Handle Fast Data

NoSQL databases can help enterprises handle so-called Fast Data. MongoDB, DataStax and Redis are three NoSQL databases worth checking out.

Three Value-Adds for Fast Data Analytics on the IoT

Early adopters of Internet of Things (IoT) analytics are experiencing several key value-adds.

5 Alternatives to the Traditional Relational Database

Hadoop is a popular way of managing Big Data – but it is not the only one. Here are five alternatives to the relational database that may belong in your optimal information infrastructure.

Big and Fast Data: Upgrading Your Infrastructure

Big Data and Fast Data necessitate infrastructure changes for most organizations.

5 Best Practices for Fast Data

Big Data is so 2012. Fast Data is the latest data processing and analytics trend. Best practices are beginning to emerge, based on early use cases.

3 Limits of NoSQL Data Processing

Limitations in NoSQL databases mean they are more appropriate for some use cases than others.

Data Lake or Information Reservoir?

A data lake's real value is shaking up the idea of an information architecture centered around a data warehouse.

5 Alternatives to the Traditional Relational Database

Hadoop is a popular way of managing Big Data – but it is not the only one. Here are five alternatives to the relational database that may belong in your optimal information infrastructure.

Business Intelligence 103: The Future Lies Ahead

Emerging technologies like dynamic data visualization promise to change business intelligence for the better.

Business Intelligence 102: It's Come a Long Way, Baby

Business intelligence has come a long way, baby. Among other advancements, BI can be used to create dashboards with information about critical success factors or key metrics.

Business Intelligence 101: A Brief History

How did business intelligence evolve from simple batch reporting to today's near real-time querying?

IBM’s Watson Will Change Your Data Analytics – but How?

IBM is focusing on real-world use cases for its Watson technology. Enterprises are sure to follow. Where are some logical areas to put Watson to work?

How Qualitative Research Can Improve Your Business Analytics

While qualitative analytics is more popular in academia than in business, it can help enterprises improve their more traditional quantitative analytics.

Agile Insights into Predictive Analytics

Three common organizational issues can derail the effective use of predictive analytics. What can enterprises do to avoid these issues?

Big Data: What Will You Do for an Encore?

Organizations that want to keep deriving benefits from Big Data after the initial implementation will create a customer-driven analytical process, with an architecture to support it.

No Hadoop Expert? No Problem

Many enterprises can use Hadoop in tandem with traditional data warehouses and may not need to worry about hiring a staff of Hadoop experts, says Wayne Kernochan.

3 Rules for Data-driven Architecture

What is a data-driven architecture, and how can enterprises achieve it? Wayne Kernochan of Infostructure Associates has three recommendations for doing so.

Can Big Data Avoid The Correlation Trap?

Can Big Data help enterprises establish causation, and thus avoid the data correlation trap? Yes, says Wayne Kernochan of Infostructure Associates.

Hadoop in the Enterprise: Don’t Overpromise

Too few enterprises understand what they might gain from Hadoop -- or the risks Hadoop may introduce -- says Wayne Kernochan of Infostructure Associates.

4 Barriers to Big Data Success -- and Ways to Overcome Them

Companies that are leveraging Big Data have identified four common barriers to Big Data success. Fortunately, all four barriers can be overcome with the right strategies.

Big Data Success: Focus on Customer, not Cost

It may seem counterintuitive, but Wayne Kernochan says that companies successfully using Big Data deliberately do not make cost reduction a top focus.

3 Big Data Lessons from 2012 Presidential Campaign

What can enterprises learn from how the two major political parties used Big Data in the 2012 U.S. presidential campaign?

Want Better Analytics? Put Sentiment Analysis in Context

While sentiment analysis shows a great deal of promise for improving customer interactions, companies must use it in context with their other market strategies.

Self-Service Business Intelligence: Not So Fast

Yes, self-service business intelligence can offer major benefits -- but not if it becomes the major focus of an organization's effort to become more "agile."

Sentiment Analysis: 3 Points to Remember

While sentiment analysis can be an effective addition to your customer analytics strategy, it is not a customer relationship cure-all.

5 Habits of Effective Agile BI

Effective agile business intelligence modifies agile practices to the needs of BI. Sounds simple, but it can be difficult to stick to this principle. Five habits should help.

Three Ways Agile Marketing Can Use BI

Wayne Kernochan outlines three key ways agile marketing can benefit from business intelligence and explains which BI best practices can move the needle.

7 Tools for Agile Business Intelligence

Wayne Kernochan, president of Infostructure Associates, recommends seven different types of tools that can go a long way toward enabling agile business intelligence.

Making Connection Between Agile Business Intelligence, Agile Marketing

It is pretty difficult to have agile marketing without agile business intelligence, says Wayne Kernochan of Infostructure Associates. Here, he discusses how agile business intelligence can help drive an agile marketing process.

Six Ways Data Virtualization Can Boost Business Intelligence Agility

Wayne Kernochan of Infostructure Associates suggests six ways data virtualization can be employed to deliver increased business intelligence agility.

Whither Embedded Analytics?

Wayne Kernochan of Infostructure Associates encourages IT buyers to look at embedded analytics, saying as the technology matures it will turn out benefits at least equal to the whiz-bang high-end Big Data analytics now being sold – although the benefits will arrive in smaller per-project chunks.

Business Intelligence Ain't Over Until Exploratory Data Analysis Sings

Business intelligence analyst Wayne Kernochan, of Infostructure Associates, says it's a shame exploratory data analysis (EDA) doesn’t get more attention from enterprises looking to increase their competitive edge.

Making a Business Intelligence Case for Columnar Databases

Wayne Kernochan of Infostructure Associates says columnar databases are making a comeback – and for good reason.

Big Data Not the Answer to Business Agility

IT organizations must challenge vendors on their claims that their Big Data and business intelligence solutions "automagically" create business agility.

Business Analyst, IT Must Be Buddies for Effective Business Intelligence

Business analysts and IT programmers should be friends, or at least effective collaborators. They are carrying out separate agile processes, and the value of these to business intelligence and to overall business agility is halved if they fight with each other instead of abetting each other.

Rethinking Business Intelligence for Marketing: Strategy, Technology, Metrics

A recent IBM study highlights the shifting challenges for chief marketing officers and the potential for business intelligence.

Data Virtualization and Big Data Business Intelligence

Data virtualization could be the glue that ties together data warehouses and social media data.

Big Data, MapReduce, Hadoop, NoSQL: The Relational Technology Behind the Curtain

Hadoop has its limits for Big Data analytics – and relational databases may have more of a future than you think.

Rethinking Mobile Business Intelligence

Mobile BI must take into account multiple devices, data needs and work environments in order to be successful.

Business Intelligence, Data Warehousing and Data Virtualization

'Move or stay' is the big decision facing business intelligence implementations – should data be local or centralized? Some new technologies make the decision a lot more interesting than it used to be.

Business Intelligence Challenged by Social, Mobile Data

IT buyers need to look at the "other" category to determine which business intelligence vendors are flexible enough to keep up with fast-changing data sources.

Progress Software and Joe Isuzu: Process Intelligence, Not Business Agility

Progress Software promises to improve business processes, but can the company also improve business agility?

Why Most Business Intelligence Projects Fail

According to Gartner, 70 to 80 percent of business intelligence projects fail. The solution could be a more agile development process — and organization.

What Agile Business Intelligence Really Means

Agile business intelligence isn't a one-time upgrade, but a continual process.

Microsoft and HP Could Reshape the IT Landscape

Forced to pair up by the growing hardware and software dominance of IBM and Oracle, Microsoft and HP could grow increasingly closer over the next couple of years.

IBM's New Way of Selling IT

IBM has gone from selling TCO to selling "outcomes." What does the change in IT sales tactics mean for enterprise applications customers?

How to Make Mobile Business Intelligence Work Now

Mobile BI is a long way from mature, but there are ways users and vendors can make it work now — and your CRM program will reap the benefits.

Three Ideas That Could Bring Business Intelligence to the Masses

There are three things that could put business intelligence capabilities at everyone's fingertips, but will they ever happen? A long-suffering industry observer offers his wish list for BI software.

 
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