The Warehouse

BLOG & REsources

May
28
Approaching an ERP Migration with Analytics in mind

Growth companies today rely on Enterprise Resource Planning (ERP) systems to manage their daily operations and collect and retain vital business data. The ERP space continues to evolve . . . cloud-hosted ERP, AI-based automation, digital transformation, etc.; eventually an organization will find itself upgrading or migrating to a more modern enterprise platform. This move will likely involve a Systems Integrator (SI) specialist to drive the effort, and an SI’s focus may need to incorporate more than just the operational systems at hand . . . the organization’s approach to data integration and analytics should be accounted for as well.



Your SI and internal migration team will init...


Mar
08
Data Integration Roadmap - Part One: The Logical Data Model

Our recent blog series on the data integration portfolio introduced a variety of new architectures that help the enterprise manage their data resources, including replication, virtualization and cloud data warehousing. Organizations are now able to integrate multiple data management solutions to address a variety of business sources and requirements. But it is important to understand that the foundation of any enterprise data management portfolio remains the same . . . a roadmap to data management must be created that is independent of the underlying technology. This series of blogs will examine the three main elements of the data integration roadmap: the logical data model, master data ma...


Oct
18
ETL vs. ELT - What's The Difference and Does It Matter?

For most of data warehousing’s history, ETL (extract, transform and load) has been the primary means of moving data between source systems and target data stores. Its dominance has coincided with the growth and maturity of on-premise physical data warehouses and the need to physically move and transform data in batch cycles to populate target tables efficiently and with minimal resource consumption. The “heavy lifting” of data transformation has been left to ETL tools that use caching and DDL processing to manage target loads.


However, the data warehouse landscape is changing, and it may be time to reconsider the ETL approach in the era of MPP appliances and cloud-hosted D...


Sep
06
The Data Integration Portfolio - Part Four: Putting It All Together (In The Cloud)

This blog series has examined the hybrid data portfolio as a mix of technologies and approaches to a data foundation for the modern enterprise. We’ve examined a variety of strategies and technologies in data integration, including virtualization, replication and streaming data. We’ve shown that there is no “one size fits all” approach to an integrated data foundation, but instead have seen how a variety of disciplines that suit specific business and technical challenges can make up a cohesive data policy.


This final chapter puts it all together under the umbrella of “time-to-value" and its importance to the agile enterprise data platform. No matter what the techn...


Feb
25
DATA INTEGRATION PORTFOLIO- PART TWO: REPLICATON

In our previous installment on the hybrid data integration portfolio, we looked at the role of data virtualization in a unified, multi-platform approach to creating a managed enterprise data foundation. In this chapter, we examine data replication and synchronization, i.e. the ongoing copying of data (without massaging or transformation) from one physical location to another, usually in conjunction with change data capture (CDC).


Data replication is often considered ETL without the "T", though where ETL is usually a batch-based delivery process, replication is often driven by "update-upon-change". Through this process, the target database only updates when changes occur to the source. Often r...


Jan
18
ENTERPRISE DATA AND ANALYTICS (EDA) FOR HEALTH PLANS

What can EDA do?



EDA is the governed integration of disparate data collection applications, into a centralized “source of truth”, for enhancing business acumen to improve and optimize decisions and performance. EDA allows health plans to easily:





  • Analyze provider performance in order to optimize pay-for-performance




  • Evaluate treatment patterns across providers and better tailor care management program




  • Identify underlying opportunities for health education and intervention with high-risk members





Sustaining fixed EDA support and overhead costs can allow an organization to continue growth and improvement, thus providing an infinite return on investment (ROI).



Why do you need an EDA?





  • How...


Jan
10
THE DATA INTEGRATION PORTFOLIO - PART 1: VIRTUALIZATION

The challenges facing organizations to integrate and make sense of the plethora of internal and external data continue to grow. Not only is there diversity in data sources, but the requirements from business units involve a mix of batch, real-time, on-demand and virtualized capabilities, often from the same source for different use cases. It is rare to find a "one-stop-shop" solution to these varied data integration needs, so organizations end up with a hodgepodge of redundant, overlapping products, or worse, rely on custom internal coding with no traceability or modularity.


In this series of blog posts, we will examine the "hybrid data integration portfolio" as a planned approach to handling...


Sep
15
TWO DV'S IN TANDEM: DATA VAULT AND DATA VIRTUALIZATION

Two DV's in Tandem: Data Vaults and Data Virtualization



There has been growing interest in data vaults as an architecture suited for the archiving and preservation of all enterprise-wide data. The normalized, "hub-and-link" structure is suited for parallel loading from multiple operational systems, and the philosophy of "all the data, all the time", regardless of quality, lends itself to the rapid population of the vault without cumbersome governance and oversight. However, the data vault is ill-suited as a source for reporting and analytic querying, since it separates keys from descriptive metadata, propagates many-to-many joins, and makes no distinction between high-quality and low-quality...


Jul
12
MEET JOSH ERHARDT, SR. CONSULTANT - INFORMATION ARCHITECTURE

Pandata Group is happy to announce that Josh Erhardt has joined the company as a Senior Consultant. His expertise is in Information Architecture and he is influential in guiding our clients to adopt a successful foundation for data integration and data warehousing.





Josh will be leading Pandata Group’s practice in Enterprise Information Architecture. Our audience is hit with waves of market analysts’ perspectives and technology vendors’ promises. The Enterprise Information Architecture practice helps cut through the noise to design successful platform for your business that is based on best practice and, most important, experience.


We think you should get to know Josh and hi...


Jul
10
WHAT'S IN A NAME?

The first half of 2016 has quickly passed us and we’re heading into the final half of the year at a staggering pace! We’ve enjoyed much success in the first part of 2016 with the addition of new clients, new team members, and even our first office in Madison, WI. It’s no small feat, and we thank all those who trust us to help in their data and analytics initiatives.


I joined the company in January of this year to help with crafting our business strategy and also executing our market development. Our initial existence centered on our expertise with SAP EIM and SAP BusinessObjects software. Since the two founders of the company each possess nearly 20 years of experience with S...


Pandata GroupLessLess
Pandata GroupLess

Madison

Pandata Group, LLC

316 W. Washington Avenue

Suite 525

Madison, WI 53704

(877) 350-5192

Madison

Pandata Group, LLC

316 W. Washington Avenue

Suite 525

Madison, WI 53704

(877) 350-5192

Less

Pandata Group © 2020

Pandata Group © 2020

Less


Chicago

WeWork/ Fulton Market

220 N. Green Street

Second Floor

Chicago, IL 60607


Chicago

WeWork/ Fulton Market

220 N. Green Street

Second Floor

Chicago, IL 60607

Less