+61 2 9007 9887 contact@bizcubed.com.au

TDWI Improving Data Preparation for Business Analytics

Type: Analyst Research

Product: Business Analytics, Data Integration

The increasing complexity of data is putting pressure on organizations to rethink traditional methods of preparing data for reporting, analysis, sharing, and use in business processes.  Preparing, blending, integrating, cleansing, and governing multiple sources of data, including big data stores like Hadoop, has traditionally been an IT responsibility. However, broadening interest in data science and analytics has begun to bring non-IT personnel into these activities.

If you’re trying to automate and scale your manual data preparation processes, this TDWI Best Practices Report is a must-read. It is designed to help you put in place the right strategy, processes, and technologies to solve data preparation woes. It will also examine the burgeoning field of self-service data preparation, including how the technology fits with visual analytics, data discovery, and BI tools.  And, because a big driver behind next-gen data preparation is to enable data scientists as well as business analysts alike to get value out of data in Hadoop, it will take a special look at data preparation in the Hadoop ecosystem.

 

TDWI EMERGING BEST PRACTICES FOR DATA LAKES

Type: Analyst Research

Product: Data Integration

The need for fact-based decision-making means that businesses are more dependent on data than ever before. This often means leveraging a data lake (frequently using Hadoop) – but it’s not always easy to ensure that a data lake truly serves the needs of the business. From the great size and diversity of data within a data lake, to the need to support a wide range of interfaces, platforms, data structures, and processing methods, too often data lakes turn into a messy data swamp, and fail to deliver promised analytic value.

How can you ensure a successful data lake?

This TDWI Checklist will discuss many of the emerging best practices for data lakes, including technical data management issues and practical business use cases.

 

TDWI DATA WAREHOUSE MODERNIZATION IN THE AGE OF BIG DATA ANALYTICS

Type: Analyst Research

Product: Big Data Analytics

This TDWI Best Practices report covers how to modernize a data warehouse environment, to keep it competitive and aligned with business goals, in the new age of big data analytics.

451 RESEARCH ANALYST REVIEW OF PENTAHO 7.0

Type: Analyst Research

Product: Business Analytics, Data Integration

This report by 451 Research Analyst and Research Director, Matt Aslett, includes an independent point of view of Pentaho 7.0, a competitive landscape and company SWOT analysis.