Ask the Experts

Ask the Experts

Data quality management and governance

• What data lake governance challenges do organizations face?

  Consultant Anne Marie Smith details five challenges that an organization may face in applying data governance policies to data lakes and offers advice on how to overcome them.  Continue Reading

• What steps are key to building a data catalog?

  An enterprise data catalog can help data stewards and other users in an organization manage metadata and explore data assets. Here are 10 key steps for creating a data catalog.  Continue Reading

• What are the main features of data catalog software?

  Data catalogs are curated data portals for self-service analytics users. Learn about the capabilities of data catalog tools, vendors that sell them and how catalogs work.  Continue Reading

• What is an enterprise data strategy?

  Defining a data strategy can help focus an organization's data management initiatives -- but it isn't the same as data governance. Expert Anne Marie Smith explains why.  Continue Reading

• What is the best structure for data governance programs?

  The optimal approach to a data governance framework includes a program team, a data governance council and stewards. Expert Anne Marie Smith explains what role each group plays.  Continue Reading

• 5 to-dos for your GDPR compliance checklist

  It's never too late to fine-tune your GDPR strategy. Expert Anne Marie Smith suggests a current state analysis of your PII protections, drafting a data privacy policy and more.  Continue Reading

• What does the GDPR definition of personal data include?

  The definition of personal data in the EU's GDPR data protection rules is broad enough to include any type of data that can be used to directly or indirectly identify a person.  Continue Reading

• What do we need to optimize our MDM strategy?

  Companies in all industries can benefit from a master data management program, advises MDM expert Anne Marie Smith. Learn how to enhance yours.  Continue Reading

• How a data steward can enable data governance, without 'police' tag

  A data governance program doesn't have to be a police action. Instead, advises expert Anne Marie Smith, data stewards should help bring about cultural change in a collaborative way.  Continue Reading

• How metadata management relates to data governance and MDM

  Why is metadata management important? Because without it, you couldn't have a successful data governance or master data management program, explains governance expert Anne Marie Smith.  Continue Reading

• Integrate data quality into your master data management strategy

  When implementing an MDM initiative, businesses should take steps to incorporate effective data quality management practices from the outset.  Continue Reading

• Part-time data stewards can enrich data governance programs

  Data governance programs often rely on the part-time data steward -- an employee from a business unit who also serves as a data expert.  Continue Reading

• Seven best practices to boost big data governance efforts

  Governing big data is much like governing other data, though businesses must adjust governance processes to accommodate larger, more varied data sets.  Continue Reading

• Creating a data governance council: Enlist champions to lead

  Enlist senior-level champions from both business and IT to guide a data governance program and achieve harmony between the two sides.  Continue Reading

• Priming a master data management strategy for success

  Organizations should meet a few key program development goals prior to implementing an MDM initiative, according to MDM expert Anne Marie Smith.  Continue Reading

• Gaining business support for your MDM initiative

  Highlighting the benefits of an MDM program from both technical and business perspectives is essential to gaining support for funding.  Continue Reading

• The state of enterprise information management technology use in 2011

  Get expert insight on whether there likely will be any strategic shifts during 2011 in how companies use enterprise information management technology.  Continue Reading

• The best way to begin an enterprise information management program

  Get expert advice on launching an enterprise information management program and creating an EIM strategy.  Continue Reading

• Common enterprise information management strategy mistakes to avoid

  Learn about four common mistakes that companies make when creating an enterprise information management strategy and starting an EIM program.  Continue Reading

• Data governance trends for 2011: Scorecards and data governance tools

  Learn about emerging data governance trends for 2011, including more use of data governance tools and data quality metrics and scorecards. Find out what’s useful and what’s not.  Continue Reading

• How often should you update your data quality strategy?

  Learn how often companies should update their data quality strategy. See how changes in data quality problems create new challenges and how revising your data quality strategy can help.  Continue Reading

• Implementing data quality software but ignoring governance policies

  Is it OK to implement data quality software but ignore your data governance policies? Learn more about the relationship between data quality software and governance processes.  Continue Reading

• Open source data quality software to help with name matching

  Learn what to consider before adopting open source data quality software to help with identity resolution and name matching.  Continue Reading

• How to get senior execs to buy into a data governance plan

  Learn how to get senior management to buy into data governance. Get tips on selling data governance policies and processes to executives who can approve data governance programs.  Continue Reading

• Are the data quality issues worse in real-time data integration apps?

  Find out if real-time data integration applications has more data quality issues than other approaches. Also, see if real-time or near-real-time integration are really useful.  Continue Reading

• How enterprise information management (EIM) differs from ECM

  Learn how enterprise information management (EIM) differs from enterprise content management (ECM) and unstructured data management as a data management technology category.  Continue Reading

• Key steps for developing an enterprise information management strategy

  Here you’ll find 12 expert tips on developing an enterprise information management strategy and roadmap for your company. Use the EIM strategy development advice to get started.  Continue Reading

• Key components of enterprise information management programs

  Learn which three components of enterprise information management programs are most important for a successful EIM strategy.  Continue Reading

• How to include data governance in an MDM development process

  Learn how to include data policies and data governance in a master data management (MDM) development process even if your company doesn’t want to fund data governance.  Continue Reading

• Who should own the data governance process and framework?

  Find out who should be the primary owner of the data governance process within an organization and what roles or departments should control the data governance framework.  Continue Reading

• Estimating the cost of poor data quality and customer data cleansing

  Estimating the cost of poor data quality can be a challenge. Read our expert's tips for estimating value of customer data cleansing and know how much dirty data is costing your company.  Continue Reading

• Can we enforce data integrity in a company to ensure accurate data?

  Find out if companies can enforce data integrity to ensure data accuracy in internal reports and systems. Plus, learn how data interpretation can affect the use of accurate data.  Continue Reading

• Building a data quality business case: Issues with poor data quality

  If you're trying to build a data quality business case, make sure you know common issues caused by poor data quality, with tips and advice from a project management expert.  Continue Reading

• Is open source data management software better than traditional tools?

  Get a snapshot of the open source data management software vs. on-premise tools debate with advice from a systems expert, including creating policies for open source applications.  Continue Reading

• Do you need enterprise information management software to conduct EIM?

  Do you need enterprise information management (EIM) software or tools to conduct EIM? See what our expert says, plus find out what makes for a successful EIM program.  Continue Reading

• Understanding five major enterprise information management benefits

  Learn about the primary enterprise information management (EIM) benefits and five major problems EIM can help solve, including data quality, information management, process efficiency, security and organizational agility.  Continue Reading

• What exactly is data governance and what falls under this category?

  What is data governance? Read an expert's definition of data governance and find out what falls under data governance's domain.  Continue Reading

• Are there data governance plans, templates or standard procedures?

  In this Q/A, learn what resources to use to find standard operating procedures templates for your data governance program.  Continue Reading

• Where to find new academic resources on data quality best practices

  Learn some best practices in managing data quality and find out where you can find reliable sources of new academic resources in data quality management including links to academic resources, DQ institutions and data quality books .  Continue Reading

• Keys to planning an enterprise information management (EIM) initiative

  Make sure you know the key factors for an effective enterprise information management initiative. Learn the primary benefit of an EIM system and how EIM can keep information secure.  Continue Reading

• What level of data accuracy standards do we need for master data?

  Find out how to establish data accuracy standards and discover what level of accuracy is necessary for your organization, depending on your business and data requirements.  Continue Reading

• How to estimate customer data cleansing costs

  How much on average does it cost to clean one customer record? Do you know if there been any specific reporting or analysis done on this area of customer data quality?  Continue Reading

• Data quality management for data warehouses

  Learn how to evaluate the risks of poor data quality in data warehouses -- and how good data quality management practices help mitigate risks.  Continue Reading

• What is high quality information?

  Learn a definition of high quality information, and find out what it means for overall data quality.  Continue Reading

• Data quality management tools: Where to get unbiased information

  Find out where to go to get unbiased assessment and analysis of data quality management tools.  Continue Reading

• Roles and salaries of data quality and governance analysts

  Learn where to go for information about the roles and salaries of data quality and data governance analysts.  Continue Reading

• The role of data governance in unstructured data

  Data governance has a role in unstructured data -- and it involves enterprise search and semantics.  Continue Reading

• How to maintain data quality and provide high quality information management and analysis

  Data quality and governance expert David Loshin says maintaining data quality and providing high quality information management and analysis are based on a mutual data governance model.  Continue Reading

• Data quality management pitfalls: Three common mistakes to avoid

  Data quality expert David Loshin addresses three common data quality management mistakes to avoid. Read what areas to keep an eye on while implementing your data quality management initiative.  Continue Reading

• Data governance: Tips for techies and managers

  Craig Mullins breaks down the top three things IT techies and business managers should know about data governance.  Continue Reading

• Data cleansing: The business impact of dirty data

  Look at the business impact of leaving less-than-ideal data in place to help you determine what data should be cleansed.  Continue Reading

• Data quality management begins with data governance

  Data quality management begins with data governance -- that means having the right strategy, people and application.  Continue Reading

• Data governance: How to maximize data stewardship

  Data governance expert Craig Mullins outlines how to achieve effective data stewardship.  Continue Reading

• Data quality management: Building the business case

  Building a business case for improving data quality management can be challenging. Get tips on building a business case from data quality expert, Craig Mullins.  Continue Reading

• Universal data availability in the enterprise

  Universal data availability, is it a good idea for business?  Continue Reading

• The Clinger-Cohen Act and enterprise risk management

  The Clinger-Cohen Act (CCA) is Congress's legislative response to overseeing enterprise risk management. Should non-governmental businesses voluntarily adopt the Clinger-Cohen Act?  Continue Reading

• Data governance initiative: Strategic planning

  To ensure optimal success in a data governance initiative, expert Craig Mullins outlines the responsibilities required of individuals within the strategic, tactical and execution levels of the project.  Continue Reading

• Information lifecycle management (ILM) data storage in an Oracle environment

  There are many data storage options -- including information lifecycle management (ILM) storage -- in an Oracle environment, each uniquely beneficial to varying business and application needs. Data storage expert Greg Schulz outlines the basics.  Continue Reading