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  • How MDM and 360-Degree View Solutions Fuel Data-Driven Digital Transformation in Industrial Manufacturing

    White Paper

  • About Informatica

    Digital transformation changes expectations: better service, faster delivery, with less cost. Businesses must transform to stay relevant and data holds the answers. As the world’s leader in Enterprise Cloud Data Management, we’re prepared to help you intelligently lead—in any sector, category or niche. Informatica provides you with the foresight to become more agile, realize new growth opportunities or create new inventions. With 100% focus on everything data, we offer the versatility needed to succeed. We invite you to explore all that Informatica has to offer—and unleash the power of data to drive your next intelligent disruption.

  • Table of Contents

    Executive Summary .......................................................................................... 4

    Overcome Data-Driven Challenges in Industrial Manufacturing .............. 5

    Realize an End-to-end Information Value Chain with MDM 360 Applications ..................................................................................... 5

    Product Information Management Based on a Product 360 View ............. 6 Supplier Relationship Management Based on a Supplier 360 View ........... 7 Reduce Costs and Increase Operational Efficiencies .................................... 8 Shorten Time to Market and Increase Agility .................................................. 10 Ensure Global Consistency While Respecting Local Requirements ........... 12 Deliver Integrated and Engaging Omnichannel Experience .......................... 13 Reduce Supply Chain Risk and Support Compliance .................................... 14

    Use Cases and Best Practices in Industrial Manufacturing ...................... 16

    1. Manufacturer of Security Technology Realizes Product Data Quality and Efficiency .................................................................................................... 16

    2. Industry-Leading Aerospace Manufacturer and Distributor Streamlines Product Life cycle ............................................................................................. 16

    3. Automotive Manufacturer Improves Customer Engagement and Marketing Efficiency ................................................................................. 17

    4. Global Power Industry Manufacturer Modernizes Data Syndication to Customers and Distributors ........................................................................... 17

    5. Supplier Information Management at Manufacturer of Paints and Coatings .................................................................................... 18

    The Next Wave of Industrial Manufacturing Leaders ................................ 20

    Partner Acknowledgment ....................................................................................... 20

    Sources ................................................................................................................ 20

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  • Executive Summary The combination of so-called Industry 4.0 trends (including automation and data exchange in

    manufacturing technologies including cyber-physical systems) coupled with the rapid evolution

    of the Internet of things (IoT) and artificial intelligence (AI) are quickly disrupting existing business

    practices for industrial manufacturers. These companies benefit from leveraging data-driven

    digital transformation to ensure that they can leverage these trends to create opportunities

    for—rather than threats to–their business. Leading organizations are increasingly reconfiguring

    themselves from legacy producers of equipment and consumer products into value-added

    service providers. Some have even launched businesses monetizing their production, sales,

    and customer usage data as licensable intellectual property to other businesses.

    Making transformative business decisions and accelerating digital transformation requires

    that the next generation of industrial manufacturing leaders have quick, easy access to trusted,

    relevant data. This requirement applies to new data sources and data types emerging from the

    latest disruptive technologies and influences, as well as traditional data from the ERP landscape.

    Crucially, master data must be of high quality to provide the correct context when combining

    data from multiple sources to support new business processes.

    In many cases, however, the business must deal with raw materials, works-in-progress, and

    finished goods for production and aftersales, as well as supplier data that is spread across

    different siloed systems, applications, business units, and regions. These systems occupy a

    specific set of processes in the manufacturing and distribution value chain, from procurement

    and asset tracking to manufacturing execution and accounting. This can make it difficult to have

    a trusted, 360-degree view of their own data.

    This also often leads to lost sales, operational waste, productivity loss, bad customer

    experiences, and compliance issues. Poor data quality and availability hinder a company’s

    agility and threaten its ability to implement the new business processes required to keep

    pace with change.

    Industrial manufacturers seeking to systematically and repeatedly unleash the power of their

    product, raw material, and supplier data needed to create a flexible ecosystem in which everyone

    along the supply chain has access to relevant information to work together collaboratively

    toward eradicating waste across the value chain.

    A modular end-to-end master data management (MDM) solution and a common data platform

    for product information management (PIM) can enable this kind of full visibility throughout the

    end-to-end information value chain. Such solutions can also include functionality to improve and

    manage data quality. Following a unified approach towards excellence-in-data-management that

    supports process optimization initiatives has a direct impact on the bottom and top line.

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  • Overcome Data-Driven Challenges in Industrial Manufacturing Manufacturing today is in the midst of a fundamental shift, in many ways as dramatic as the

    first industrial revolution, creating enormous opportunities for nimble manufacturers who

    embrace this opportunity. Starting in the 1980s, Industry 3.0—the third industrial revolution–was

    driven by the advent of automation and computer technologies focused on individual machines

    and processes.

    The current manufacturing paradigm, Industry 4.0, focuses on the end-to-end digitization of

    physical assets (or information about those assets) and the integration of that data into digital

    ecosystems with value chain partners. The Internet of Things (IoT) has become a fundamental

    element of Industry 4.0. To get value from the IoT, organizations must efficiently process rising

    volumes of data from a wide variety of equipment, sensors, and locations.

    The global market and political mood add uncertainties for manufacturers. Brexit, tariff wars,

    and the renegotiation of the North American Free Trade Agreement (NAFTA) are just three

    geopolitical events that may disrupt established supply chains that cross borders multiple

    times. Industrial manufacturers are also often lured to overseas production locations by labor

    arbitrage. Manufacturers need to evaluate carefully how to respond to such a tempting premise

    by analyzing their local yields when it comes to input cost, such as commodity, energy and labor

    availability, cost, and quality. Some of these factors of production are more easily understood

    and replaced than others, but the immediate and long-term impacts need to be carefully weighed,

    as fluctuations in factors such as inventory, hiring, training costs, and local labor and emissions

    regulations have a direct impact on financials.

    Manufacturers often react to uncertainty by mitigating risks in their operations by outsourcing

    large pieces of their supply chain, such as material cataloging, order processing, shipping, and

    packaging. The semiconductor and consumer electronics sectors are at the forefront of this

    change by focusing on design and marketing. Losing direct control over these outsourced

    processes requires organizations to respond by introducing digital means to recapture visibility

    and operational access.

    In this white paper, we’ll first describe two MDM-fueled applications that help solve these overall

    data challenges. Then we’ll walk through specific challenges and how these applications can help

    manufacturers succeed.

    Realize an End-to-End Information Value Chain with MDM 360 Applications Leading industrial manufacturers realize that the foundation of digital transformation is trusted,

    governed, and relevant data to fuel their next-generation intelligent enterprise. In other words,

    data is the digital core of efficient production and smarter products.

    “Manufacturers investing in digital transformation will be able to maximize the outcome; the rest are held back by outdated business models and technology.”1

    1 IDC FutureScape: Worldwide Manufacturing 2017 Predictions

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