A Beginner’s Guide to Data Integration Approaches in Business Intelligence

KDnuggets

An integrated BI system has a trickle-down effect on all business processes, especially reporting and analytics. Find out how integration can help you leverage the power of BI. 2020 Mar Tutorials, Overviews Beginners Business Intelligence Data Integration

Enterprise Data Integration: Better Data, Smarter Decisions

Sisense

One of the main goals of a digital transformation is to empower everyone within an organization to make smarter, data-driven decisions. More data, more problems. The marketing team wants a database to store marketing data? Better data builds better businesses.

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Data Architecture: 2.5 Types of Modern Data Integration Tools

Perficient Data & Analytics

As we move into the modern cloud data architecture era, enterprises are deploying 2 primary classes of data integration tools to handle the traditional ETL and ELT use cases. The first type of Data integration tools are GUI-Based Data Integration solutions.

Manual Coding or Automated Data Integration – What’s the Best Way to Integrate Your Enterprise Data?

KDnuggets

What’s the best way to execute your data integration tasks: writing manual code or using ETL tool? 2019 Aug Opinions Advice Data Integration Data Management Data Science Data Science Platform ETL

The Role of Data Integration during Pandemics such as the Coronavirus Outbreak

Data Virtualization

Business BI BI Tools Coronavirus Data integration data virtualization health care servicesJust when we feel smug about having found cures to innumerable diseases, along comes a new kind of a disease, such as the Coronavirus, that humbles us.

The New Data Integration Requirements

In(tegrate) the Clouds

This week SnapLogic posted a presentation of the 10 Modern Data Integration Platform Requirements on the company’s blog. They are: Application integration is done primarily through REST & SOAP services. Large-volume data integration is available to Hadoop-based data lakes or cloud-based data warehouses. Integration has to support the continuum of data velocities starting from batch all the way to continuous streams.

Integrate Your Data using Oracle Data Integration Platform Cloud

Perficient Data & Analytics

Oracle Data Integration Platform Cloud (DIPC). DIPC is a unified, powerful, data-driven data integration platform on cloud which can accept data in any format from any source system either on premise or on cloud and process that data as per organization needs.

How to build smarter data integration in a multicloud world

IBM Big Data Hub

Let’s say you’re the Chief Technology Officer of a bank or retailer struggling to infuse AI that aims to improve customer experiences. You likely face three main challenges

Data Integration: Taming the Beast of Healthcare

Perficient Data & Analytics

To accomplish this, operational data has to be extracted and integrated. Integrating clinical data at this level of detail requires a (wait for it) monstrous effort. To satisfy these complex reporting and analysis requirements requires finding the needed data in many operating systems then merge it all together in a usable way. Lack of expertise in these areas can adversely affect the quality, accuracy and usability of a data warehouse.

3 Ways Atlas for Microsoft Dynamics 365 F&O Addresses Data Integrity Issues

Jet Global

Bad data can look identical to good data. Data integrity issues are a bigger problem than many people realize, mostly because they can’t see the scale of the problem. Prevention is the only real cure for data integrity issues. Data-Optimized Reports.

IBM InfoSphere DataStage takes data integration to any cloud

IBM Big Data Hub

The IBM Institute for Business Value found that 85 percent of companies manage a multicloud environment

Data integration is equally important across all company sizes

BI-Survey

I t is interesting to see that data integration between on-premises and cloud applications is ranked an equally important use case across all company sizes while data integration between cloud applications becomes more important the smaller the company is.

Every decade, federated DBMSs reappear. This time around they may play a role in data integration.

Tamr

Every decade there are three or four new systems who federate data in disparate systems. However, they may well play a role as a piece of a future data integration suite, as subsequently explained. These days, they range from RDBMSs to NoSQL DBMSs to file system software supporting “data lakes” to array DBMSs to graph DBMSs to … Obviously, one would like to query across these disparate systems with a common query notation. Finding them” is a data discovery problem.

How Data Integration and Machine Learning Improve Retention Marketing

Business Over Broadway

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. In this Big Data world, a major goal for businesses is to maximize the value of all their customer data.

Gartner's Magic Quadrant for Data Integration Tools 2017

Information Builders

I don't normally do this, but I'm going to quote the entire first paragraph of the "Context" section of Gartner's Magic Quadrant for Data Integration Tools. Download the report here. read more

Qlik's shift to SaaS at Qonnections 2019

David Menninger's Analyst Perspectives

Key news from this year's conference centered on acquisitions of Podium Data and Attunity, along with an expansion of certifications on Google Cloud Platform, AWS, and Azure, with the ability to support Red Hat OpenShift. Qonnections 2019 is Qlik's annual user conference.

Embedded Data and Information Builders Summit 2019

David Menninger's Analyst Perspectives

Big Data embedded analytics Analytics Data Integration Data Management Information Builders IOT Streaming Data

Big Data, Machine Learning and Alteryx Inspires 2019

David Menninger's Analyst Perspectives

This year's conference focused on Alteryx's evolution from data preparation to AI and machine learning, and both were front and center. Big Data Data Science alteryx Machine Learning Data Integration Data Management Alteryx Inspire

IoT, Automation and Domopalooza 2019

David Menninger's Analyst Perspectives

Analytics Business Intelligence Collaboration Data Integration Data Management Data Preparation DomoDomopalooza 2019 marked the first annual user conference after Domo went public, but the energy, excitement and new feature announcements have not slowed.

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News and Announcements from Tableau and TC18

David Menninger's Analyst Perspectives

Once again I attended Tableau's Users Conference, along with 17,000 other attendees, affectionately self-referred to as "data nerds". Big Data Data Governance Data Integration Data Preparation Tableau Software data lakes

Gartner Names Information Builders a Visionary in the Magic Quadrant for Data Integration Tools

Information Builders

Information Builders, a leader in business intelligence (BI) and analytics, information integrity, and integration solutions, today announced that it is positioned as a Visionary in Gartner Inc.s Magic Quadrant for Data Integration Tools.

Tech Community Honors Information Builders With Top Data Integration and Analytics Awards

Information Builders

Information Builders , a leader in business intelligence ( BI ) and analytics, information integrity, and integration solutions, today announced that its WebFOCUS BI and analytics platform and iWay Data Integration Suite were recipients of the Integrate + APR World 2015 awards

Bots Bots Bots: Introducing Robotic Process Automation (RPA)

Jen Underwood

BI & Analytics Artificial Intelligence Data Integration Digital Transformation Automation Bots RPA UiPathby Jen Underwood. Bots here, there, everywhere. All around the world, RPA bots are actively automating busywork.

The Market of Data at Strata

David Menninger's Analyst Perspectives

In 2017 Strata + Hadoop World was changed to the Strata Data Conference. That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data.

Exploring a Decentralized Data Mesh Pattern for Modern Analytics

Jen Underwood

Like many other industries today, life sciences face a data deluge. Astronomical amounts of healthcare data double every 73 days. Extreme levels of data proliferation overwhelm top research organizations, existing. by Jen Underwood.

Metadata Management, Data Governance and Automation

erwin

erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. How to automate data mapping.

Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. With automation, data quality is systemically assured.

Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. The volume and variety of data has snowballed, and so has its velocity. That’s time needed and better used for data analysis.

Crafting a Knowledge Graph: The Semantic Data Modeling Way

Ontotext

The W3C has dedicated a special workshop to talk through the different approaches to building these big data structures. We hope it will bring some clarity to the topic and will help you get a better understanding of what it takes to craft a knowledge graph the semantic data modeling way.

How Metadata Makes Data Meaningful

erwin

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data.

Business Glossary and Metadata: When a Data Catalog Product is Not a Data Catalog

TDAN

If you do a general internet search for data catalogs, all sorts of possibilities emerge. If you look closely, and ask a lot of questions, you will find that some of these products are not actually fully functional data catalogs at all.

CRM, It’s Not Really A CRM Project Anymore

Perficient Data & Analytics

Integration. In many cases, the budget for a CRM project has more funds allocated to data and integration than to the configuration and usage of a CRM tool. Customer Experience Data & Analytics Healthcare best practices CRM Data Integration perspective

Integrating Data in the Cloud For Better Care

Perficient Data & Analytics

In this blog, we’re going to focus on healthcare and examine how a healthcare provider gave a more personalized experience for patients by integrating data processes in the cloud. Integrating data in the cloud.

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Data Virtualization and SnowflakeDB: A Powerful Combination

Data Virtualization

The star of SnowflakeDB keeps rising.

Why Data Virtualization is the Best Accessory for the Smoothest Data-Driven Journey

Data Virtualization

Ideas analytics big data Data integration data scientist data virtualization Denodo Platform

erwin Automation Framework: Achieving Faster Time-to-Value in Data Preparation, Deployment and Governance

erwin

Data governance is more important to the enterprise than ever before. It ensures everyone in the organization can discover and analyze high-quality data to quickly deliver business value. A mature and sustainable data governance initiative must include data integration.

Creating a Holistic View: Data Consolidation and Integration

Perficient Data & Analytics

The consolidation of data and integration of systems is essential to providing a holistic 360-degree view of patients and members. One organization that understands the challenges associated with bringing data together across a large number of hospitals is Mayo Clinic. The implementation and integration of the system at its network of hospitals and clinics are estimated to cost $1.5

How Metadata Makes Data Meaningful

erwin

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data.

Keeping Millions of Customers Happy with Data Virtualization

Data Virtualization

Ideas Real Cases Cloud Data Analysis Data Catalog Data integration data virtualization Denodo Platform TelecommunicationsIf telecommunications subscribers are not happy with their providers, they can easily switch.

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GEMA Gains a Dramatic Speed Boost with the Denodo Platform

Data Virtualization

Real Cases big data Data Governance Data integration data virtualization Denodo Platform GEMAPeople looking to purchase licensed music, and music authors looking to sell their music, both require a trusted intermediary to bring them together.

3 Trends that are Changing the World of Data

In(tegrate) the Clouds

In my last post, I wrote about the new data integration requirements. In this post I wanted to share a few points made recently in a TDWI institute interview with SnapLogic founder and CEO Gaurav Dhillon when he was asked: What are some of the most interesting trends you’re seeing in the BI, analytics, and data warehousing space? There are three trends that I believe are fundamentally changing the world of data.

Spark and Data Virtualization: Competitors or Cooperators?

Data Virtualization

Apache Spark and data virtualization enables us to extract data from heterogeneous data sources, integrate and process that data, and make it available for a wide range of reporting and analytics tools. Business Apache Spark applications Data Data integration Data Sources data virtualization database hadoop Salesforce SAP SQL

Flexible Decisions, Fresher Data, Agile Delivery? Data Virtualization Can Help

Data Virtualization

Business Ideas business business intelligence Data integration data virtualization Data Warehousing enterprise data warehouse ETL Internet of Things IT social mediaBy Barry Devlin “I want it all, and I want it now,” sang Freddie Mercury in “I Want It All.” Today’s businesspeople, it turns out, feel just the same way. The pace of business has ramped up dramatically over the.