Vendor Research

This research aims to contextualize the current Data Integration (DI) tools market for vendors and solution providers. It provides survey-based data and analysis to help these groups more effectively market and sell DI tools.

Vendor Research

Indaba of Info-Tech Research Group provides its opinion on Informatica's 9.5.1 release.

Many IT departments are turning to a master data management (MDM) strategy in order to establish a single version of the truth for enterprise reporting and analytics.

Template/Policy

The Data Integration (DI) Specialist must successfully organize and supervise all DI initiatives. The individual is responsible for managing the flow of data between databases, apps, and Cloud services.

Tool

This tool will help you determine whether or not data integration (DI) is required at your organization, the type of tool needed to support your DI needs, as well as the suitability of deployment methods based on your organization's personnel,...

Note

The progressive movement of business areas into the Cloud is calling attention to the need for stronger data integration (DI) planning in most organizations. Data transaction now need to be made between On-Premise apps, On-Premise and Cloud...

Solution Set

Organizations have been neglecting their data integration needs for years, but now the growing adoption of Cloud applications is complicating the situation even more. This set confronts and explains that challenge, then leads organizations...

Job Description

Data Stewards manage data quality issues by identifying problems that users run into and then putting in place mechanisms to address them. They safeguard data both On-Premise and within the Cloud.

Note

Hand-coded point-to-point integration solutions offer little consistency, require constant rework, produce data quality issues, and can actually hinder enterprise growth. Use this research to get a handle on how you can best integrate diverse...

Solution Set

Many enterprises are unfamiliar with the benefits of data integration tools. Use this research to get a handle on how you can best integrate diverse source data, and which software vendors will help you manage your data.

Tool

This tool is pre-built with the essential criteria that should be considered when evaluating RFP responses. Use this tool to put hard numbers behind vendor claims, and keep evaluations objective by scoring RFP responses.

Template/Policy

This template is designed to provide vendors with a consistent set of instructions to ensure an objective comparison of product features; all while you can evaluate ease-of-use from a user and IT perspective.

Tool

Data integration (DI) tools provide a wide array of both business and IT benefits, but they are not for everyone. Use this readiness assessment tool to determine if DI tools are right for the organization.

Tool

Info-Tech conducted its own market evaluation of eight leading data integration solutions. Use this tool to narrow the vendors to a shortlist of solutions that best satisfy the organization's requirements, before sending out RFPs and scheduling...

Template/Policy

Issuing RFPs is a critical step in your vendor selection process. This RFP template comes populated with important elements you don't want to forget. A detailed RFP saves time in the selection process and ensures that you select a best-fit...

Solution Set

Business Intelligence (BI) has changed in the last ten years. Learn what's new and what could make your BI platform more successful.

Video

This video will give you some insight into what data integration tools can do for you today, as well as what tiers of solutions are available and some caveats when investigating particular solutions.

Tool

The Data Integration Build vs. Buy TCO calculator provides enterprises with a framework for comparing the cost of hand-coding to that of buying a new software package.

Note

Despite the costs and headaches associated with having poor data, most organizations struggle to define and implement a strategy for effectively improving data quality.

Solution Set

This solution set will help you understand the causes of data quality problems and provide strategies to fix the causes of data quality problems, and not just address the symptoms.

Tool

The first step to improving data quality is to conduct an audit of prevalent data quality problems are in the organization. There are five key types of data quality problems, ranging from duplicate data to conflicting data.

Tool

Developing policies and procedures is an important step for improving data quality. IT and business users need to clearly understanding who is accountable for what data. Policies such as refresh cycles and system-of-record are essential for...

Video

Data quality is a significant issue facing many organizations. Despite the costs and headaches associated with having poor data, most organizations struggle to define and implement a strategy for effectively improving data quality.

Note

Info-Tech recently conducted several surveys for our research projects. This document is a high level summary of those results and an introduction to the resulting research.

Solution Set

This solution set will provide a straight-forward mechanism to rate the magnitude of the data integration challenges you face and help you put a strategy and tactics in place for improvement immediately and going forward.

Note

Many mid-sized organizations live in a state of data chaos. While it's not a conscious decision, many sink themselves further into a messy data architecture by using insufficient tools, methods and processes. Understand the basics of data...

Video

There is no quick way to fix a broken data architecture. There are, however, short term tactics and long term strategies to move from chaos to an optimized architecture.

Tool

Taking stock, or mapping out an existing data inventory terrain is important to understand where the organization is strong, and where there are gaps. This identification will aid in the process of moving from a chaotic to controlled data...

Tool

Data integration projects are rarely approved as stand-alone projects, but are often tacked-on to existing business projects. This tool will assist you in determining which of the business projects currently being considered in your organization...

Enterprises generate a great deal of useless data in the name of Business Intelligence (BI). Business and IT decision makers need to establish the strategic intent behind BI before even considering tool adoption.