Tag Archives: reporting
I had the opportunity to review and comment on the draft of a new Hadoop technical guide. It’s great to see the published paper: Technical Guide: Unleashing the Power of Hadoop with Informatica. This guide outlines the following five steps to get started with Hadoop from a data integration perspective.
(1) Select the Right Projects for Hadoop Implementation
Choose projects that fit Hadoop’s strengths and minimize its disadvantages. Enterprises use Hadoop in data-science applications for log analysis, data mining, machine learning and image processing involving unstructured or raw data. Hadoop’s lack of fixed-schema works particularly well for answering ad-hoc queries and exploratory “what if” scenarios. Hadoop Distributed File System (HDFS) and MapReduce address growth in enterprise data volumes from terabytes to petabytes and more; and the increasing variety of complex multi-dimensional data from disparate sources. (more…)
Are you planning to attend Informatica World 2010 next week?
If so, I invite you to hear these breakout session presentations from our master data management (MDM) customers, including:
- Johnson & Johnson’s Charles Bloodworth, IT Director, Medical Devices & Diagnostics;
- Merrill Lynch’s Sal Caruso, Director, Client & Account Data;
- St. Jude Medical’s Mike Striefel, Senior Manager, Enterprise Information Delivery, and
- GlaxoSmithKline’s Nipun Bhonsle, Manager, Strategy, Architecture & Information. (more…)
The CEO of a global technology products manufacturer had a simple question: “I need a list of our top 400 global customers by revenue—immediately.”
The boss got his answer—six weeks later.
That’s how long it took the company’s IT team to root through disparate applications, engage data owners in various business units and geographies, and manually reconcile granular data to answer a basic question that bears directly on the bottom line.
It’s a true story, and one with a happy ending. This multibillion-dollar company implemented Informatica MDM for multidomain master data management (MDM). It exploited the solution’s capabilities and followed best practices in aggressively tackling business-critical data challenges.
“Beauty is only skin deep”. This old saying came to mind recently when speaking with a friend. Jane was relaying to me the amount of time she spends correcting data for management reports every month. Answering simple questions like “how many new customers did we add?”, “how many customers placed repeat orders?” or “what was the top selling product?” Without the correct answers, management ran the risk of making poor decisions on future investments in marketing campaign, capacity planning and sales and support resources.
On average Jane spent two days a month checking for duplicate customer names and standardising product codes and descriptions, just so the reports would give an accurate reflection of sales. All this was managed in multiple Excel worksheets. The reporting tool the company had invested in was still being supplemented with manual worksheets, as management did not trust the information from the tool of choice. As the months and quarters went by Jane spent more and more time managing the worksheets. (more…)