Showing posts with label material master data management. Show all posts
Showing posts with label material master data management. Show all posts

Thursday, 16 April 2015

Contribution of MRO Data Standardization in Diminishing Enterprise Costs

  
MRO Data cleansing

Rapidly changing worldwide economy and the prevalence of cut throat competition require companies to keep up with the latest technological changes. Due to these demands, enterprises constantly face an acceleration in costs and cutting down on them is a challenging situation.  Apart from curbing costs, companies also need to maintain high quality manufacturing and productivity standards. All these companies have a multitude of branches worldwide and to keep them running smoothly there are a gamut of costs incurred on the maintenance of all the departments (MRO).

MRO Data cleansing is certainly an integral part of this maintenance and companies which lag behind in MRO data standardization might have to bear extra costs. Over time, improper standardization can lead to damaged materials data and the enterprise will have to bear the brunt of the same. The shocking effects of these unusable materials might lead to an oversized inventory, unreal stock outs, unwanted purchases and replications.

To avoid these effects and in order to reduce costs, the following data centric decisions need to be taken.

MRO Data Enrichment
MRO or maintenance, repair and operations are quintessential factors required to run any organization smoothly.  In order to avoid any errors from taking place, companies need to the take the right decisions towards refining their data.  Creation of catalogs by using external sources and reduction of errors from the data is generally known as MRO data enrichment after which a data cleansing process is carried out. This step when carried out with accuracy aids in data cleansing which will lead to the final reduction in costs.

More: Apsense.com
 

Thursday, 2 April 2015

The what and how of material master data management


material master data management



 What is material master data management?
Master data management is a comprehensive manner of ensuring that an enterprise’s critical data are linked to one file, which is the master file. MDM is more relevant to large organizations. The larger the organization, the greater may be the disparity between the different versions of data. An organization may have data for different needs, stored on the servers in different forms. An integrated Operational Data also known as operational data store is a volatile collection of data that supports an organization’s daily business activities.

Why does your business require MDM?
MDM is a key resource in any business since it assists in coordinating and ‘talking’ to the various systems in an organization. It has become of utmost important for good business performance. To elaborate, few of the basic systems in a typical business would consist of customer master, products master, accounts master, location master etc. Any organization struggling to consolidate its core data can benefit from MDM.

Without a clearly defined master data, the enterprise runs the risk of having multiple copies of data that are inconsistent with one another.


More on : Apsense.com
 

Friday, 27 March 2015

Call For Data Quality Improvement In A Business


 
data quality management

Online business brings with it a bundle of tensions. No doubt it is spread worldwide but it also requires maintaining and developing by time to time. Even managing all the products online is not a child’s game. A huge variety of products, some similar, while some dissimilar, all need to be distinguished so as to avoid confusions in the mind of people. United Nations Standard Products and Services Code (UNSPSC) is a hierarchy coded with descriptions and classification of products and services.

Your online data is too precious for your business, make it high quality data so that product will get a high quality value. Data quality management properly manages the full data according to the need of an enterprise by developing certain policies architectures and procedures. Verdantis data quality management will provide improvement to your data quality by reducing duplicate data, maximization of value of your data and so on. It will help you to analyze your data, clean, protect your data and will improve overall performance. Data which fits for all your business operations is termed as quality data.

Item master data management manages all the records of the item master and avoids duplicate entries and incomplete records. If you don’t have the right information, you may order the wrong product and not receive a valuable price for all your products. So in order to avoid any such loss, you should consider Verdantis item master data management as a solution to these errors.

 Originally Article posted on : Apsense.com

Friday, 6 March 2015

Data Governance - An Indespensable Need For Business


 Master data management vendors

Are you running an online business? Are you looking out to manage your data’s availability, integrity and providing it a complete security? Data governance will provide your organization with security over your data, all of your data can be managed. Through this program, you can know whether the data is trusted or not. This program for governing the data includes council, procedures and plans. Being a businessman, it is obvious to worry about security and efficiency of your company. You can’t manage all of the data on your own, especially when it comes to online. An online theft threatens every businessman. There is a solution to provide security and efficiency to your online data through data governance.

All the elements of your data should be managed and planned responsibly. All your data will be stewarded carefully under data governance through data steward. Certain individuals are called data stewards, who take the responsibility of creating and maintaining all the elements of data. Master data management vendors know that data stewarding is essential to manage the data. Verdantis master data management consists of several policies, processes and tools which will define and manage all of your essential data consistently. Any data entered by any user is needed to be described, verified and approved. Thus, Verdantis helps you to complete these procedures and enhance trait and refuge of your data.

Know More on : Apsense.com

Tuesday, 24 February 2015

Product Information Management and MRO


Product Information Management


The benefits of data management are obvious, and every organization strives to have a linear and retrieval friendly data system. Ensuring data integrity goes a long way in improving efficiency and cutting clutter. The benefits of master data management are also equally obvious, with many companies choosing either some sort of a software package or a consultant to help with their data management needs. This is an encouraging trend. Data management can also reduce costs in purchases by keeping track of how much material is used, how much goes wasted, etc. This is where materials master data comes into the picture.

Materials master data is simply data that focuses on information about spare parts, raw materials and pretty much anything that comes under the ambit of Enterprise Resource Planning (ERP) software. This data is essential to organizations, and is usually centrally stored and used across the divisions.

This also helps with MRO (Maintenance Repair Operations) in industries. Repairs and maintenance takes a lot of money and time from any organization. Streamlining the data used for these processes will help reduce costs. Management of the MRO content reduces investment levels and improves part availability, which in turn reduces cost.

Originally Article posted on : Apsense.com


Saturday, 7 February 2015

Data Quality Management: A Primer


Data governance

Ensuring that data is of a standard quality across the organization is immeasurably important. The worth of a work place can easily be judged by the quality of its data. Sloppy organizations tend to have sloppy databases. Bad data can clutter your system, slow down work process and decrease efficiency. This is where data quality tools come into the picture.

As a basic definition, data quality tools are any processes, software or hardware that help you maintain a certain level of accuracy in data. It includes how reliable the data is. High quality data has about four qualities, and these are completeness, accuracy, availability and timeliness.

Data governance is another important aspect of data quality management. It essentially refers to a standardization process that all data entry and retrieval must subscribe to. Data governance helps reduce clutter, increase efficiency and speed up processes. While it can be a messy task to implement, the benefits of it far outweigh the negatives.

More on Apsense.com



Thursday, 22 January 2015

Why Do You Need to Govern Data


data governance

Data governance gives you the power of analyzing your data assets, managing and utilizing them to benefit your customers and your business. There are several steps to ensuring successful implementation of a data quality management plan. With successful implementation, you can not only ensure better streamlining of data and better collaboration among your resources, but also deliver enhanced customer satisfaction. An intelligent businessman will not only think of securing his data assets, but also utilizing them to his maximum benefit.

Having a resourceful and skilled data steward team is one of the first steps you should take if you want to implement a successful data governance plan. A data steward can oversee and manage the inflow and management of data assets, identify threats and take measures to ensure maximum security. This not only includes protection from external threats, but internal dangers as well.

The Verdantis Master Data Management Plan will not only help you in governing your data better, but also give you services such as stewardship through its Integrity Solution Suite, thus catering to all your data management needs. The advantage of using a Verdantis Master Data Management solution is that it has been equipped with artificial intelligence technology, that ensures faster handling and delivery of projects.


Originally Article Posted on : Apsense.com 

 

Thursday, 8 January 2015

Few Tips One Can Use To Enhance The Data Governance in your Company



VerdantisBlog

Here are a few tips that you could use to enhance the data governance in your company:

Get an able data steward
A data steward is a person who is responsible for the overall management of your company’s data. A data steward is responsible for a wide variety of functions ranging from sourcing to implementation and management of the data assets in your company. Create a team to help the data steward to lay down data stewardship guidelines for the company.

Taking stock of the inventory
The data steward and his team can then review the current practices of data management in the organisation to identify strengths and weaknesses. This analysis will help the team draw up a roadmap to the position where it wants the organisation to be in a few years. This also helps them in identifying threats that could cause harm to the organisation’s data assets.

Evaluating data
The most important task that the data steward and his team will undertake is the evaluation of data. It is impossible to identify the threats and dangers to your data assets unless the value of your data asset is known. While taking stock of the existing data and practices followed, the team will evaluate your data and then design a strategy for its protection and utilisation. 

More: Yooarticles.net


Monday, 24 November 2014

Maintenance, Repair and Operations Data Management- Effective and Efficient



MRO or Maintenance, Repair and Operations is one of the most important fields in the world of business. For something to function effectively, it is necessary to maintain or restore a particular item to working condition to for it to be able to perform the required functions.

To ensure the proper working of equipment and other components, it is necessary to maintain a record of data pertaining to a particular system or process. It is also needed to manage this statistics and remove any and every error from the data to be able to use it in decision making and other major processes.

In order to effectively manage MRO flow, steps need to be taken towards data quality improvement and also MRO data enrichment. The main aim is to remove inconsistencies and also standardize the records.

Master Data Governance is a control system used to make sure that any data entry, both automated and user entered meets a particular standard in terms of quality. This is a technique generally used to handle and manage data effectively. It is applied in order to make sure that the decreasing quality of data can be accounted for and can also be improved, thus aiding in improving data security and optimizing effectiveness of the organization.

Continue Reading : Apsense.com

Tuesday, 28 October 2014

Mastering the art of master data management solutions


MDM solutions

The functioning of most of the companies has revolutionized by every business employing MDM vendors to produce best results with the master data management. Data management has become the lifeline of every business by placing master data management solution at the center of all IT functions. One of the most effective MDM solutions can be using master data management software.

This software helps to improve the efficiency of the business by providing data that is user-friendly and building a relationship with various kind of customer, channel partners, products and suppliers data. Private organization these days relies heavily on these cloud applications to master the duplicate data and have unique and efficient data to reduce the operational costs and wastage of funds.

More on : Apsense.com


Monday, 27 October 2014

The necessary tools needed to implement data quality management


data quality management

A few of the evaluation principles requirements for data quality tools and the holes present while implementing these tools usually lead to failure of quality projects and data cleansing. However, while implementing data quality improvement in an organization, it is important to use the necessary tools:

Implementing data quality improvement with the following tools

•    Removing, analyzing and connecting data: The first and the foremost step for a good data stewardis to connect all the data and load the data into the application. There are various ways to load the data into the application and viewing the data can help build connectivity for the data.

•    Data profiling: after the data has been loaded in the application, the data quality management performs the step of data profiling in which a statistics of the data is run. These statistics include min/max, number of the missing attributes and average. This helps to determine the relationship between all the data. Data profiling also serves to build an accuracy of the columns such as email address, phone numbers, etc of the various customers.

•    Cleansing and data governance: under data cleansing, the function of data standardization, transform functions, elimination of spaces, calculation of the values, identification of incorrect locations take place.  Data governance serves as a useful tool to identify all the missing information and help adjust the information manually.

•    Duplication of records: this process involves cleaning up and merging the various records that have been duplicated. This happens if the data is entered poorly, applications are merged or for various other reasons. After the duplication process is implemented, it is important to clarify the attributes that should be kept in priority and the ones that need a manual clean up.

Read more on : 321articles.com


Tuesday, 16 September 2014

The Prime Necessity Of Data Quality Management

Data in the field of business and economics has one of the most important roles to play. It is from this data that businesses are able to extract the required amount of information that can be processed into working data to be used in the running of the business. Businesses realize that the importance of quality data management is one of the keys to ensuring that they can enhance the working qualities of their companies and also troubleshooting any of the previous errors that may have been made due to poor data management and analyzing.

Data governance, when done in the right manner will make it so much easier for companies to move forward with their business and save precious time that may have been lost due to unnecessary errors and lack of good judgment previously.

More on: Goarticles.com

Monday, 15 September 2014

Material Master Data Management will Govern the Future Enterprise

Material Master Data Management will Govern the Future Enterprise
To master data is not an easy task. It is because data is hidden at innumerable places or sources. In the matter of ownership of the data, some political challenges are created. For offering dependable data to the enterprises, a firm should efficiently address some issues like data consolidation and completion. Besides, they should concentrate on data accuracy and on some generic model for maintaining consistency. Master data management vendors will help you highly in this context.

Some important aspects are linked to transactional data. They are state, collaboration, complexity. Transactional data is controlled under a lifecycle of “state”. Interaction and collaboration are needed between two operators in most transactions for the sake of modification. Each one of them plays a vital role in the transaction. At a lookup, table typical reference data is reserved to fulfil a single purpose. The transactional reference data is not simple. This type of data is complex by nature. We see the challenges of different degrees in different industries, such as logistics, utilities, telecom, high tech, and insurance.
More on : Apsense.com

Friday, 29 August 2014

Master Data Governance Is Reshaping the Enterprises

Reshaping the Enterprises


The advantage of master data management software is increasing day by day due to the expansion in number and diversity of computing applications, worker roles, and organizational departments. This is why master data management tools are of greater importance to big enterprise rather than medium and small enterprises. During merger and acquisition of companies, the application of MDM can decrease the degree of confusion and enhance the overall strength of the new entity.

Master data management vendors are going to be an inseparable part of procurement of the relevant systems. Problems of inefficient processing and faulty reporting are addressed by them. Issues of standardization of different conventions of naming for vendors are solved by MDM. An efficient vendor can prevent duplication, incomplete data, payment and taxation problems, and lack of information. The system resolves a good number of issues, such as linking multiple divisions, identifying vendor type, helping in storage, accessing, and updation of vendor contact information.

Article Source: EzineArticles.com

Thursday, 31 July 2014

Product Information Management - The Next Step to E-Commerce

Product Information Management

In today's content driven E-commerce market, detailed product information is vital. For a consumer, specific details and images are required for making purchasing decisions. Due to increased demand for information, the need to have accurate and consistent product data has become a necessity.

Product information flows through multiple groups like marketing, sales, It etc. Inconsistent and inaccurate data can inversely affect the success and efficiency of an organisation. Hence a good product information management tool is the need of the hour. During the era of ERP boom,enterprises were mainly focused on the store and warehouse management. There will be an " item master" in every merchandising application which acts as a data store consisting a big list of fields. The data in item master is the Base of a retailers foundation data.

A PIM solution helps create an architecture which interacts with product information in such a way that it is not dependent on any specific application. It can act as the single repository which is separate from business rules and also help provide data to multiple channels in a more agile manner. It will help classify, enrich and totally transform your product information, in addition to enhancing customer search and navigation on the portal.

Article Source: Ezinearticles.com

Monday, 16 June 2014

How Do Implementation Of MDM Solutions Help Revive A Declining Brand?

MDM Solutions Verdantis

Declining brands compete with matured brands as well as new brands. Using the right packaging and executing the best of promotional techniques can create a difference. However, even that does not guarantee the revival of the brand. It takes enormous amount of research and planning to retrieve a declining brand. For creating strategies, planning is essential but even that boils down to having reliable information in the database. In such a case, implementing an effective master data management software is essential to manage the day-to-day flow of information.

Quality information assets can be sourced from various resources. Though they may not be corrupted when acquired, they get corrupted when data of different values are fed into the system without proper segregation. This leads to duplication of content and creates a lot of confusion. To avoid this problem, companies should make effective use of the master data management tools available to them. They should manage different catalogs as per the assets and should define their properties. Providing definitions for attributes helps organize the data in a desired format that complies to the international standards as well as the goals of the company.

Article Source :Yoarticles.net

Thursday, 29 May 2014

Let's Not Forget The Role Of Master Data Management Stakeholders


As defined by well-known internet search engine Wikipedia, "In business, master data management (MDM) comprises the processes, governance, policies, standards and tools that consistently define and manage the critical data of an organization to provide a single point of reference." Though the definition covers the major elements of the term MDM, it fails to provide a complete gist of what the process is entirely capable of achieving. This is because MDM is a constantly evolving process. The more you explore and experiment, the more you discover.

Businesses know how influential an MDM process can prove to be. They introduce master data management solutions in the organisation, in order to experience all-round success and to support the ultimate goal of the firm. As simple as these solutions may appear, they come with their own set of complex features that, when understood and worked with 'in-depth', provide a clear image of what the business can accomplish. A number of people play the role of stakeholders, from the inception stage through the process of on-going maintenance. Their roles in the process simply cannot and must not be ignored.

Some of the major stakeholders in the process include the application owners, information architects, meta-data analysts, executive management, data governance team and system developers. However, the list simply does not end there. There are many other professionals who work with these major stakeholders in determining the course of the MDM process and other inter-linked processes such as data quality management. Then, there are a few data specialists who understand the needs, demands and expectations of the organisation and together, navigate the process towards total success and productivity.

Original Article Posted on : Ezinearticles.com

Sunday, 18 May 2014

Defining Enterprise Master Data Management Strategy – The Challenges


Constructing an enterprise data management strategy that supports multiple business objectives:

The first step in building a strategy is to understand the purpose behind the project and acquainting oneself with current business requirements. The implied strategy must aim to accommodate definite business objectives such as evolving organisational demands over the course of time. It should work towards timely delivery of strategic projects, with respect to long term business goals and also adapt and evolve continuously, to provide results based on increments. Moreover, accommodation of constant technological changes is a must. This must be achieved by incorporating business compatible master data management solutions.

enterprise data management strategy by Verdantis


Syncing the data management strategy with other business processes:

Some of the objectives that need to be achieved by the data management strategy include appropriate provision of properties that contain proper definitions of vital elements such as strategic roadmaps and frameworks. One also has to ensure that the new data management strategy complies with business cultures and also understands the speed at which they adapt to new changes. It should create a delivery approach that paves the way for simultaneous activities, while tackling consistent roadblocks along the way. Reuse similar work products to enhance overall operational efficiency.

Source : YoArticles.Net

Monday, 12 May 2014

Top 5 Best Practices For ERP Implementations


Here are top five best practices that are highly conducive to experiencing total success in ERP implementations:


Understand the reason for ERP implementation:
ERP implementations experience maximum success only when they are led by a team that knows its purpose and future expectations for the business. These teams are backed by thorough research and have completed essential business tasks such as creating metrics and introducing a business plan which showcases organisational ERP expectations. One must also keep in mind that, learning from other's ERP experiences is always a welcome routine, but following their implementation route to the tee, is a complete no-no.


ERP Implementations - Verdantis

The earlier you plan, the better the results:
As important as master data management solutions may be, without appropriate and timely planning, an ERP implementation simply cannot experience the success it deserves. Such is the importance of time management in an ERP initiative. One must work towards introducing time slots for regular activities such as calculating vendor compatibility, measuring key performances, selecting the perfect vendor and so on. Only those businesses make the most out of their implementation, who allocate sufficient time to planning and evaluation at any early stage.

Gain deeper insight into business requirements and processes:
One of the most fundamental steps in any ERP implementation initiative is to spend time in understanding the business process properly. This will help in timely selection of the appropriate ERP and master data management vendors for the process. The next step involves creation and prioritisation of key corporate requirements. Always tend to current business needs first, while defining priorities and then move on to other long term objectives.

More on Goarticles:

Tuesday, 18 March 2014

Implement MDM Solutions In Order To Enhance Business Data Quality


MDM solutions

The consequences of poor quality data can be vast and influential to business operations, in many ways. Some of the problems created by poor quality data consist of decreased performance levels, reduced system value and slower decision-making. Moreover, data-dependent plans and strategies may be at constant risk and slowly accumulate into financial losses. This is exactly where master data management steps into the spotlight. The increasing need to tackle master data quality issues at enterprise levels, has led MDM to emerge as the basic necessity for companies looking to enhance sustainability levels and enable bottom-line savings.

Data quality management initiatives work towards enabling several long-term business benefits, such as improved manufacturing processes, smoother business efficiencies and better operational processes. Moreover, MDM also supports the management of data quality, with the help of two key functions, namely Historical Master Data Cleansing and Ongoing Data Quality Maintenance.

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