An information management plan has four key steps: 1) Capture accurate data from reliable sources, 2) Manage the data through classification, policies, and monitoring its flow, 3) Store the information securely by limiting access and regularly assessing security, 4) Archive redundant or non-essential data according to a defined retention policy to keep the system efficient.
My keynote speech at the ISACA IIA Belgium software watch day in October 2014 in Brussels on the value of big data and data analytics for auditors and other assurance professionals
IT budgets are not growing as fast as the exponential growth in
information creation and storage. Most organizations don’t know what they
holding and are uncertain about:
• What to move to lower storage costs such as the cloud
• What must come under retention management
• What poses a threat to IP or other confidential information
People don’t talk much about the value of information but information is the strategic asset of a company. What makes the company great among other things is the ability to take information and use it as an asset. Information is what drives an organization, whether it is through development of new drugs, new products, looking into new geographic regions to expand to, etc.
Pharmaceutical companies are regulated industry and therefore are subject to strict compliance regulations. Document control and information governance in pharmaceutical companies are especially important.
This presentation covers the following topics:
- document control requirements per GxP/GMP requirements;
- GxP/GMP requirements for IT systems;
- proliferation of content;
- documents and legal exposure;
- documents and process inefficiency;
- social computing and its effect on information governance;
- documents and mobile computing and its effect on information governance;
- bring your own device (BYOD) and its effect on information governance;
- vulnerability of sensitive information;
- documents and crisis management;
- documents and E-discovery;
- role of documents in collaboration and new employees onboarding;
- documents and manual processes.
My keynote speech at the ISACA IIA Belgium software watch day in October 2014 in Brussels on the value of big data and data analytics for auditors and other assurance professionals
IT budgets are not growing as fast as the exponential growth in
information creation and storage. Most organizations don’t know what they
holding and are uncertain about:
• What to move to lower storage costs such as the cloud
• What must come under retention management
• What poses a threat to IP or other confidential information
People don’t talk much about the value of information but information is the strategic asset of a company. What makes the company great among other things is the ability to take information and use it as an asset. Information is what drives an organization, whether it is through development of new drugs, new products, looking into new geographic regions to expand to, etc.
Pharmaceutical companies are regulated industry and therefore are subject to strict compliance regulations. Document control and information governance in pharmaceutical companies are especially important.
This presentation covers the following topics:
- document control requirements per GxP/GMP requirements;
- GxP/GMP requirements for IT systems;
- proliferation of content;
- documents and legal exposure;
- documents and process inefficiency;
- social computing and its effect on information governance;
- documents and mobile computing and its effect on information governance;
- bring your own device (BYOD) and its effect on information governance;
- vulnerability of sensitive information;
- documents and crisis management;
- documents and E-discovery;
- role of documents in collaboration and new employees onboarding;
- documents and manual processes.
BI: How Can Your High-Performance BI System Meet Expectations When You Feed I...Ray Mcglew
Many BI projects fail, some because of data issues. Using Data Governance and associated skills such as Master Data Management and Data Stewardship can help improve your information and projects.
Master Data Management: An Enterprise’s Key Asset to Bring Clean Corporate Ma...garry thomos
Over the last several decades, IT landscapes have proliferated into complex arrays of different systems, applications and technologies. Eventually, this fragmented environment has created significant data problems.
Social Methodology - Mike2.Openmethodologywistonjenkins
MIKE2.0 provides a comprehensive social methodology that can be applied across a number of different projects within the information management space. Visit us at : http://mike2.openmethodology.org/
The organizations can bring beneficial information through data technologies like Y2k, Bubble etc. There are many other benefits of these technologies, like they can help in utilizing and analyzing the information more comfortably and generate accurate financial reports within the organization. With the application of modern technology and automated systems, employees, stakeholders and consumers can be protected, because these systems help in making genuine report design. Organizations can maintain information system such as record keeping system on any Oracle or SQL server program. In order to avoid misuse of the data and analysis recorded in the system, the U.S designed SOX law procedures in July 2002 that needed to be followed.
Enacting the data subjects access rights for gdpr with data services and data...Jean-Michel Franco
GDPR is more than another regulation to be handled by your back office. As stated by the European Commission, “The primary objective of this new set of rules is to give citizens back control over of their personal data.” And surveys show that European citizens are eager to apply for those new fundamental rights, such as access to information, data portability, and the right to be forgotten. Will you be ready to deliver, or will you be forced to tell your customers that unfortunately, you are not yet ready to respect their rights?
Enacting the GDPR’s Data Subject Access Rights (DSAR) requires practical actions. There’s a mandate for an integrated data governance strategy to establish your data inventory, operationalize controls, foster accountability across teams and ensure compliance, and finally unleash personal data to your customers, employees, visitors, and prospects. Only a strong data governance program on top of a modern, collaborative data hub ensures that you have the policies, standards, and controls in place to enforce compliance.
This presentations outlines the practical steps to deploy governed data services that:
Know your customers and employees with a data inventory
Track and trace data using audit trails and data lineage
Manage and propagate opt-in consent across customer-facing applications
Reconcile and protect your sensitive data in a data hub with automated controls, data stewardship, and data masking
Respect the rights for your data subjects with collaborative data management and portals
SME- Developing an information governance strategy 2016 Hybrid Cloud
This white paper discusses the variety of challenges focused on information governance and also offers a variety of recommendations about what organizations can do to improve their information governance practices. The paper also provides a brief overview of its sponsor – StorageMadeEasy – and the company’s relevant solutions.
The lack of good information governance has brought us to an inflection point:
decision makers must gain control of their information to enable innovation, profit
and growth; or continue down the current path of information anarchy and
potentially lose out to competitors who are better able to govern their information.
This presentation is about managment and how it is affect the whole organization in a good way or bad way. I've made a small research about Toyota company and how they've applied the six business objectives.
This presentation was one of the requirements of MIS203 course in Yanbu University College.
Getting Ahead Of The Game: Proactive Data GovernanceHarley Capewell
Data today is getting bigger, more widely available and
changing more quickly than ever before. Data Governance
coach Nicola Askham shares her advice on why you
need to embrace Data Governance NOW and what good
governance looks like.
The right approach to data governance plays a crucial role in the success of AI and analytics initiatives within an organization. This is especially true for small to medium-sized companies that must harness the power of data to drive growth, innovation and competitiveness.
This guide aims to provide SMB organizations with a practical roadmap to successfully implement a data governance strategy that ensures data quality, security and compliance. Use it to unlock the full potential of your data assets.
BI: How Can Your High-Performance BI System Meet Expectations When You Feed I...Ray Mcglew
Many BI projects fail, some because of data issues. Using Data Governance and associated skills such as Master Data Management and Data Stewardship can help improve your information and projects.
Master Data Management: An Enterprise’s Key Asset to Bring Clean Corporate Ma...garry thomos
Over the last several decades, IT landscapes have proliferated into complex arrays of different systems, applications and technologies. Eventually, this fragmented environment has created significant data problems.
Social Methodology - Mike2.Openmethodologywistonjenkins
MIKE2.0 provides a comprehensive social methodology that can be applied across a number of different projects within the information management space. Visit us at : http://mike2.openmethodology.org/
The organizations can bring beneficial information through data technologies like Y2k, Bubble etc. There are many other benefits of these technologies, like they can help in utilizing and analyzing the information more comfortably and generate accurate financial reports within the organization. With the application of modern technology and automated systems, employees, stakeholders and consumers can be protected, because these systems help in making genuine report design. Organizations can maintain information system such as record keeping system on any Oracle or SQL server program. In order to avoid misuse of the data and analysis recorded in the system, the U.S designed SOX law procedures in July 2002 that needed to be followed.
Enacting the data subjects access rights for gdpr with data services and data...Jean-Michel Franco
GDPR is more than another regulation to be handled by your back office. As stated by the European Commission, “The primary objective of this new set of rules is to give citizens back control over of their personal data.” And surveys show that European citizens are eager to apply for those new fundamental rights, such as access to information, data portability, and the right to be forgotten. Will you be ready to deliver, or will you be forced to tell your customers that unfortunately, you are not yet ready to respect their rights?
Enacting the GDPR’s Data Subject Access Rights (DSAR) requires practical actions. There’s a mandate for an integrated data governance strategy to establish your data inventory, operationalize controls, foster accountability across teams and ensure compliance, and finally unleash personal data to your customers, employees, visitors, and prospects. Only a strong data governance program on top of a modern, collaborative data hub ensures that you have the policies, standards, and controls in place to enforce compliance.
This presentations outlines the practical steps to deploy governed data services that:
Know your customers and employees with a data inventory
Track and trace data using audit trails and data lineage
Manage and propagate opt-in consent across customer-facing applications
Reconcile and protect your sensitive data in a data hub with automated controls, data stewardship, and data masking
Respect the rights for your data subjects with collaborative data management and portals
SME- Developing an information governance strategy 2016 Hybrid Cloud
This white paper discusses the variety of challenges focused on information governance and also offers a variety of recommendations about what organizations can do to improve their information governance practices. The paper also provides a brief overview of its sponsor – StorageMadeEasy – and the company’s relevant solutions.
The lack of good information governance has brought us to an inflection point:
decision makers must gain control of their information to enable innovation, profit
and growth; or continue down the current path of information anarchy and
potentially lose out to competitors who are better able to govern their information.
This presentation is about managment and how it is affect the whole organization in a good way or bad way. I've made a small research about Toyota company and how they've applied the six business objectives.
This presentation was one of the requirements of MIS203 course in Yanbu University College.
Getting Ahead Of The Game: Proactive Data GovernanceHarley Capewell
Data today is getting bigger, more widely available and
changing more quickly than ever before. Data Governance
coach Nicola Askham shares her advice on why you
need to embrace Data Governance NOW and what good
governance looks like.
The right approach to data governance plays a crucial role in the success of AI and analytics initiatives within an organization. This is especially true for small to medium-sized companies that must harness the power of data to drive growth, innovation and competitiveness.
This guide aims to provide SMB organizations with a practical roadmap to successfully implement a data governance strategy that ensures data quality, security and compliance. Use it to unlock the full potential of your data assets.
Records Governance, Part 3: How to Manage Governance for Any Content Type and...Everteam
Centralized governance is an great idea. But how do you apply a centralized governance process to content that exists in many different forms in many different systems? Moving everything to one large centralized repository won’t work; in fact, it’s nearly impossible to do. The answer lies in a central information governance system.
MIS lecture notes by Yihune Ephrem Kassahun.pdfYihune Ephrem
The lecture notes on Management Information Systems (MIS) provide an in-depth understanding of the role of information systems in modern organizations. The notes cover a range of topics, including the basics of information systems, the types of information systems, the role of information systems in decision-making, and the impact of information systems on organizational performance.
The notes begin by introducing the concept of information systems and their importance in modern organizations. They then cover the different types of information systems, including transaction processing systems, management information systems, decision support systems, and executive information systems. The notes also discuss the role of information systems in decision-making, including the use of data analytics and business intelligence tools.
The lecture notes also cover the impact of information systems on organizational performance. This includes the benefits of information systems, such as increased efficiency, improved decision-making, and enhanced communication. The notes also discuss the challenges of implementing information systems, such as the need for training and support, and the potential for security breaches.
Throughout the lecture notes, real-world examples and case studies are used to illustrate the concepts and theories discussed. This helps students to understand how information systems are used in practice and how they can be applied in different organizational contexts.
Overall, the lecture notes on Management Information Systems provide a comprehensive overview of the role of information systems in modern organizations. They are an essential resource for students studying business, management, and information technology, as well as for professionals looking to enhance their knowledge and skills in this area.
1) Business Process is a process of the set of activities which is u.pdfshettysachin2005
1) Business Process is a process of the set of activities which is used for an organization in order
to acheive it\'s goals; IT industry is also a bussiness which consists of gathering the information,
planning the activities and promorting their software this business process is used for this IT
industry.
2) The systems serve the different management groups in a business at various levels At the
operational level, tasks, resources, and goals are predefined and highly structured. Management
Information system serve managers primarily interested in weekly, monthly, and yearly results,
although some MIS enable managers to drill down to see daily or hourly data if required.
Decision support system focus on problems that are unique and rapidly changing; procedures for
arriving at a solution may not be fully predefined. Execute support system are designed to
incorporate data about external events, such as new tax laws or competitors, but they also draw
summarized information from internal MIS and DSS.
3) An organisation will open up with good environment and looks for the profits. The successful
organization focuses on the efficient execution of its processes, customer service, and speed to
market Enterprise systems integrate the key business processes of an organization into a single
central data repository. This makes it possible for information that was previously fragmented in
different systems to be shared across the firm and for different parts of the business to work more
closely together. The benifits are like Information flows seamlessly throughout an organization,
improving coordination, efficiency, and decision making. Gives companies the flexibility to
respond rapidly to customer requests while producing and stocking only that inventory necessary
to fulfill existing orders.Customer relationship management systems enable a business to better
manage its relationships with existing and potential customers. With the growth of the Web,
potential customers can easily comparison shop for retail and wholesale goods and even raw
materials, so treating customers better has become very importantDetailed and accurate
knowledge of customers and their preferences help firms increase the effectiveness of their
marketing campaigns and provide higher-quality customer service and support.
Because intranets and extranets share the same technology and software
platforms as the Internet, they are easy and inexpensive ways for companies to increase
integration and expedite the flow of information within the company (intranets alone) and with
customers and suppliers (extranets)
4) Collaboration is working with others to achieve shared and explicit goals. It focuses on task or
mission accomplishment and usually takes place in a business, or other organizations, and
between businesses. Collaboration can be short-lived or longer term, depending on the nature of
the task and the relationship among participants. It can be one-to-one or many-to-many.
Collaboration.
How is data management different from information management?shopiawilson
An effective data management strategy allows the process of businesses to know whether the data they are accessing is old and current data, it will be safe and valuable for analysis.
In this PPT, We describing the important things about Data Management and Data Governance. The data governance approach provides the right practices and processes that help an enterprise manage its data flows.
7 best tips to winning successful data governance shopiawilson
In this PPT, We describing the, 7 best tips winning successful data governance. data governance approach ensures that fair people are assigned the right data responsibilities.
5 top reasons why data governance needs to business successshopiawilson
The data governance approach is a combination of processes and practices which help to ensure the management od data assets within an organization and enterprise.
7 steps for guides how to build a successful data strategyshopiawilson
Enterprise Data Strategy decisions and sets of choices that together, chart a high-level course of action to get high-level goals. Some important steps to build a successful data strategy.
Benefits of data management assessment for an enterpriseshopiawilson
In today’s digital age, one of the primary requirements for a successful business venture is having an efficient system of management and analysis of all the vital information. Enterprises employ data management services for controlling the flow and evaluation of information in order to increase their efficiency but hardly ever give a thought to undertake a data management assessment to analyze the effectiveness of the methodologies being used for the purpose.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Key steps to implement an information management plan
1. Key Steps To Implement An Information Management Plan
2. Why is it critical for organizations to have an information management plan? We are living in a digital age with data flowing all
around us. An enterprise accesses details on all aspects of its products, workers, services, partners, vendors, etc.
They need to handle this material carefully in order to extract maximum value from it. This can be possible only if they have a
system for identifying the assets and managing them efficiently for the entire duration of their stay.
Data management services come into the picture when corporations are unable to organize and analyze the information they are
generating. These agencies create a framework which divides the entire process into four stages. The following steps will help in
executing each of the phases smoothly.
3. 1. Capture Accurate Data
The first stage is acquisition when an element is captured from one or more sources.
As mentioned earlier modern organizations are receiving materials from a variety of
origin points. In order to identify assets, it becomes important to separate the grain
from the chaff. The best sources providing accurate details have to be recognized
and ensured that a specific item is generated only from there. The first step in any
management plan, therefore, must be to capture relevant and correct data. In the abse
nce of a suitable mechanism duplicate and incorrect items can enter the digital
ecosystem. This can have a substantial impact on the program as well as the final
business decisions based on the analysis of anomalous elements.
A classification system which grades information articles according to their accuracy
and importance needs to be developed. There cannot be a one size fits all approach t
o this task as every company has its own unique structure and requirements. Consult
the stakeholders in all the departments of the corporation to know what can be
classified as an asset. Once the definition of a valuable component is clear, use
software solutions and processes to create the necessary system for acquiring faultle
ss data.
4. 2. Manage Data Assets
Once the assets have been identified, the next step is to make arrangements for their
efficient management. Categorize all the information into different groups and create
an inventory to map their types as well as locations. Most of the articles will be
required by users across the organization for various purposes. They will require
access to a specific asset quickly to perform the necessary functions. However, it is
possible that the same element is needed and processed by multiple users. A
hierarchy needs to be established to ensure that the stakeholder who requires the
item most urgently receives it instantly.
This is the core of an information management program which needs to be executed
carefully. Define policies to handle each asset and specify procedures for their
transformation and processing. Document these rules and make them available to all
users so that they are aware of the correct way to handle data. Monitor the flow to
ensure any discrepancy is reported immediately. Creating such an environment is
essential for maintaining the sanctity of the assets. This will also help in eliminating
instances of multiple interpretations of the same article which can lead to confusion.
5. 3. Store The Information Securely
In the modern world, data is an invaluable asset which holds the key to an
organization’s growth. However, it will remain priceless unless it is free from errors and
does not lose its genuineness. Storage of the vital elements is an important aspect of
the entire initiative. The precious nature of the information also makes it an attractive
target for unscrupulous elements. Corporations need to be alert to the threats of
breaching. The next step is to address such issues and ensuring that the items are free
of contamination and remain secure.
It can be done by limiting access to the information by authorizing only the most
relevant users. Even they must not be allowed to view and use the assets on personal
devices. Keeping some vital pieces of information restricted to the organization's
digital environment will protect it from breaching. Conduct data management
assessment at regular intervals to monitor the effectiveness of the program. This will
be helpful in knowing whether the processes and the technical solutions being used
are working efficiently or not. Define clear access rules and guidelines for handling all
the articles and ensure that they are followed by the workforce.
6. 4. Archive Data Efficiently
Managing the information is a constant and dynamic process. New elements can enter
the corporation’s ecosystem while existing ones can become useless. There will also
be some data which is not required for current functions but needs to be preserved for
later use. The final step in implementing the plan is to create a strategy to archive
such assets and remove items which have become redundant. Consulting the
stakeholders in the first step provides a good idea about the time period for which an
article will remain useful.
Organizations must define a retention policy clearly stating what must be stored and
for how long. This will automatically highlight an item as soon as it becomes
redundant. Similarly, identify the records which need to be archived. For instance,
companies would like to retain their financial and purchasing details. They will also
want to preserve their customer sales records which can help them make future plans.
An archival process keeps the system lean by removing clutter and makes the entire
initiative more efficient.