Published By: Adverity
Published Date: Jun 15, 2018
Master Your Client's Data To Build An Advertising Agency For The Future
This is the first part of our ebook Strategic Playbook For Data-driven Advertising Agencies. In this instalment we cover how agency executives can benefit from their client's data to maintain a sustainable, future-proof business in times of digital transformation.
Scaling your business with Marketing Intelligence
Building a data strategy to stay ahead of the curve
Mastering the end-to-end data management process
Once you decide to master your data, you will be rewarded with deep, meaningful insights and happy long-term clients that get the most out of their data. We know it’s worth it!
Signup and download the 28-page pdf-document to understand how data will secure your spot in the future advertising industry.
Published By: Datavail
Published Date: Nov 03, 2017
The management of financial data in an organization is of paramount importance. Reporting, evaluating ROI, making adjustments across the business, and increasing revenue depend on good, accessible financial data that can be updated and integrated across systems and software.
For these reasons, many organizations have turned to master data management (MDM) software in the effort to better store, access, search, retrieve, and analyze their financial data. These MDM solutions are able to collect data within a single unified, fully integrated, user-friendly platform. However, in order to be most effective, MDM applications must also have capabilities in data relationship management (DRM). DRM software is able to describe and enforce the relationships between data, no matter where it's located within an organization, to provide a holistic and consistent solution.
As the volume of data coming into organizations – from both internal and external sources – continues to grow and makes its way across departmental systems in many different formats, there is a critical need to create a single, holistic view of the key data entities in common use across the enterprise. Master Data Management (MDM) aims to accomplish this goal. Not surprisingly, MDM has become a significant priority for global enterprises, with the market expected to triple from $9.4B to $26.8B by 2020 according to analysts.
The reality, though, is that while seemingly everyone is investing heavily in the tools to manage data, few are putting a great enough emphasis on the data itself. And that’s a problem. Poor data quality is said to be costing businesses $3.1 trillion annually – and that’s just in the US alone. The information being put into MDM tools must be mastered first and foremost.
It is becoming increasingly more obvious that for data to have any real value, it must be in motion. It must flow. “All entities move” Heraclitus added, “and nothing remains still.” These ancient musings have startling relevance to the modern challenges and benefits of Master Data Management (MDM) programs across global enterprises. The entities he referred to were more philosophical in nature, yet it is no coincidence that the entities of our commercial world – customers, vendors, prospects and the relationship between them – are in a constant state of movement and change.
Join EMA Research Director, Charles Betz, and Blazent Senior Director of Sales Engineering, Adam Clark, to learn how Blazent is pioneering a new approach to master data management that can greatly improve the business results from IT.
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
In the era of individual-centered economy, customers are demanding faster, more personalized services. To deliver these services, successful organizations realize the benefits of accurate and trusted master data. And in today's always on society, companies can no longer afford to allow downtime for maintenance and scheduled upgrades for these services and the supporting applications. With low latency capabilities in IBM InfoSphere Master Data Management designed to easily connect to applications in a zero-downtime environment, the highest demands for user interactions can now be realized. As a result, businesses can therefore take the next step in their digital transformation initiatives to truly drive personalized differentiated customer experiences to separate themselves in today's crowded marketplace.
View this webinar to discover how IBM MDM puts these capabilities within easy reach. The webinar will:
Reveal how these capabilities are being delivered on-premise and on t
Loraine Lawson spoke with David Loshin, president of the Washington, D.C.-based BI consultancy, Knowledge Integrity, and the author of Master Data Management, a book on MDM published by the MK/OMG Press, about how IT leaders separate out the marketing hype from what's really possible and pertinent about master data and managing it.
IBM Multiform Master Data Management manages master data domains - customers, accounts, products - that have significant impact on the most important business processes and realize the promise of Service Oriented Architecture (SOA). IBM is the only vendor that delivers an integrated MDM product with significant out-of-the-box functionality for each MDM usage style - collaborative, operational and analytical - across multiple data domains, thereby managing the complete data lifecycle.
Organizations with data-sharing environments, complex information and systems hinder business responsiveness and decision makers’ ability to make informed decisions. This white paper will describe how engaging in a master data management (MDM) project enables effective governance of data - specifically master data - and achieves maturity in key categories of the IBM Data Governance Maturity Model.
Corporate master data is a critical asset that must be increasingly managed within and beyond the enterprise, primarily to solve business problems in compliance, customer service, sales, and marketing. Such master data may be indentified, harmonized and integrated at multiple levels of the software stack to materialize a single customer view (or supplier, product, view etc.).
The implementation of an information strategy is critical to your organization's business success and key to sustaining your competitive advantage. IBM’s Information Agenda has been specifically designed to help. Philip Howard of Bloor Research has helpful insights on getting started.
A comprehensive solution for leveraging data in today's retail environment. From customer data to product placement statistics, retail organizations are constantly juggling information. As the sheer amount of data continues to grow, it becomes increasingly difficult to manage. Not only does data come in many different forms—such as reports, memos and e-mails—but often it’s scattered across multiple repositories.
A comprehensive solution for leveraging data in today's financial industry. Most organizations realize that the key to success lies in how well they manage data—and the banking industry is no exception. From customer statistics to strategic plans to employee communications, financial institutions are constantly juggling endless types of information.
We need to move away from the current environment in which data is treated as separate from (and subservient to) applications and business process-which may require a cultural shift within the IT department.
The information agenda is intended to map out corporate business and technology goals and to create a roadmap to ensure that companies can leverage their corporate information as a strategic asset in the pursuit of these goals.
The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. IBM, one of the five vendors in this evaluation, is positioned as THE leader with the most prominent, widely implemented solution in the market.
The MDM of customer data solutions market segment grew healthily in 2012. New acquisitions and integrations of prior acquisitions by the Leaders have continued, and several visions for linking MDM and social data have emerged. This Magic Quadrant will help you find the right vendor for your needs.
IBM® InfoSphere® Master Data Management (MDM) helps
organizations gain a comprehensive and accurate 360-degree view of their customers. This 360-degree view, when integrated with a CRM solution such as Salesforce.com, helps organizations improve the effectiveness of their CRM initiatives to help
-Increase user productivity
-Improve sales and marketing performance to increase win rate and revenue
-Mitigate risks associated with poor customer data
Download here to learn more!
Gaining a more complete, trusted view of customers is a strategic goal of most organizations. The challenge is that information about customers is typically managed and stored in many different applications, management systems and data silos. And this challenge is often compounded by a lack of consistency from one application to the next.
The combination of IBM InfoSphere Data Explorer and IBM InfoSphere Master Data Management addresses these challenges by creating a single, combined, trusted 360-degree view of all data related to customers, accounts, products and other entities. The combined solution enables organizations to gain a deeper understanding of customer sentiment, increase customer loyalty and satisfaction, and get the right information to the right people to provide customers what they need to solve problems, cross-sell and up-sell.
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Read this Gartner Report: Gartner Magic Quadrant for Customer Master Data
This Gartner's Magic Quadrant offer insight into the part of the packaged MDM solution market that focuses on how organizations master and share a ""single version"" of customer data
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