A decade of achievements - How Sesam has contributed to Elvia's success
With Sesam, you can maximise your business value and simplify processes for your company. Sesam offers flexibility and safety, enabling you to optimise business operations. A prime example of how Sesam has worked wonders for others is our successful ...
The Impact of Poor DataQuality on Your Customer's Experience - And How toFix It
The impact poor data quality has on your customers' experience cannot be overstated. It extends far beyond being a minor issue and can cause significant harm to your business. When your data is of low quality, it directly impacts your customer relations, analytics, and decision-making processes, ultimately leading to lower business performance. One of the major consequences of poor data quality is...
Streamlining Data Quality and Efficiency: KLPEiendom’s Experience with Sesam
KLP Eiendom is among the largest real estate companies in the Nordic region, managing a diverse range of properties including offices, shopping centers, hotels, and residential plots. They offer tenants access to a customised online platform, "My Ten...
Why Garbage In Equals Garbage Out
More and more businesses are making decisions based on data, therefore having good data quality is essential. Having unreliable data that can’t be trusted makes it impossible to make good decisions based on that data. Good data is accurate, valid, and available for data analysis and business decision-making and creates an accurate perspective of how your business is doing and if you are achieving ...
The Importance of Data Trust
«Data Trust» is crucial for businesses to perform their daily tasks, maintain a good workflow, and especially for increasing customer satisfaction. But what does data trust mean? Data Trust, Data Quality, and Data Democratisation are closely related ...
Breaking Down Data Silos
Effective communication, both internal and external, is crucial to the success of any business. That is why data silos can pose a significant problem. While silos may be useful for storing grain on a farm, data silos prevent businesses from communicating by keeping data isolated within a single unit, often incompatible with other systems in other units of the organisation. This creates inconsisten...
The Key to Getting Data
Value
What is data quality? Data is one of the most valuable assets a business has. All factors to develop the business need data, and businesses that have control over their data accelerate. Data provides the information you need to perform day-to-day tas...
DataAnalytics and SaaS trends to watch in 2023
As we enter the new year, it is exciting to see what data analytics and SaaS trends will emerge and shape the industry in the time to come. Data analytics is an essential part of many businesses, and businesses are increasingly relying on data collection and analysis to make informed decisions and improve day-to-day operations. In 2023 we can expect to see several key trends transform the way busi...
How Businesses Can Improve Data Quality
High data quality is when the data is well-suited to serve its purpose. Centralizing the data makes it more usable and ensures that everyone is working with the same dataset, processes and requirements. Having data accessible to employees in differen...
Unlocking the Value of Data
Data Fabric has emerged as a leading solution for managing and integrating data. It does this by creating a “fabric” of data across multiple data stores and systems, which leads to companies saving costs and time. This fabric allows everyone, from the CEO to the data scientists, to quickly and easily access data from any location or source. Having access to the same information provides a unified ...
A Proactive Approach to Data Quality
There is a collective understanding that there is a Data Quality problem, but the response is often learning to live with it. Thirty percent of our data is unusable in its current form, and the solution for many companies is to discard it and use wha...
Data: an Enterprise- Wide Opportunity
This article presents seven trends that will shape data in the near future, one of them being the growth of Cloud-Based Data Infrastructure and Platforms. With the increasing amount of data available, cloud-based data infrastructure solutions are helping organizations scale. There’s a huge amount of value in the data. In fact, that data is gold, but there is still a belief that data quality is som...
Data Governance or Data Management?
There is significant confusion about the similarities and differences between Data Governance and Data Management within organizations. While Data Management focuses on the delivery of information technology-based outcomes, Data Governance focuses on...
Trends in Data Architecture
What role have Data Management and Data Architecture played in data-driven organizations, especially during the beginning of the COVID-19 pandemic? Based on a 2020 survey of almost 300 industry professionals, a number of trends emerged, including insights into how organizations returned to the foundations of Data Architecture: analytics, Data Quality, and using data for digital transformation. Bus...
Getting Value from your Data
Cognizant has invited Axel Borge, CEO of Sesam.io, to join them on their Leadership and Innovation podcast and talk about how you can get value from your data. There is nothing in data that gives it quality, and you cannot measure quality from the da...
Data Quality: Begin with
the end
in mind!
Most organization understand that data represent one of their most important assets, but many focus on managing their data sources without practicing product management. It is easy to get caught up in the technology and activities and lose sight of the end goal, but the data only has potential value and is only realized when transformed into an information product or service used to solve a real b...
The Cost of Poor Quality Data
High quality data decreases the risk of poor business decisions and enhances confidence in your data, but what does it cost you to not maintain your data and let it decay? Among the hidden costs of poor data quality and outdated customer data is wast...
Experiences from data quality projects
Getting to great data quality need not be a blood sport! But there must be a method to the madness, and you need to be persistent and properly involve relevant stakeholders to achieve long lasting improvements. This article aims to provide some practical insights gained from enterprise master data quality projects undertaken within the past ten years. READ THE ARTICLE (10 MIN)
Data Quality is in the eye of the beholder
In this article two butterflies are compared, each representing a common use of data quality: firstly and most commonly in the natural or original position or place for existing systems, and secondly for use in data migration. Butterflies are beautif...
Data Quality over Quantity
In this digitally transformed economy, data is considered gold, and your company’s success can be measured by the efficiency of the data it possesses. Poor data quality costs businesses trillions of dollars every year, as flawed data reflects the company's authority and accuracy. By optimizing the quality of your data, you give consumers a trust factor when they interact with your company- they ar...
The benefits of good data management
Master Data Management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization. A well-executed data management strategy can make sure that the data in corporate systems is accurate, availabl...
Data quality in context for data-driven business processes
High data quality will pave the way to a successful business. Data quality is not a single measurement but is directly connected to the business value you will derive from the data. Here are some examples on how to put data quality in context. READ THE ARTICLE (3 MIN)
A D&A leader's guide to improve Data Quality
Good data quality provides better customer relationships, better leads and is directly linked to the quality of decision-making. The importance of data quality continues to increase as organizations progressively use data analytics to drive business ...
Data Quality: The right tool for the right job
As the use of the cloud continues to grow, so does the importance of Data Quality. Data Quality is key for trustworthy, valuable and manageable data, and Data Quality tools can help with just that. Inaccurate data promotes poor decision-making and lower profits, but data quality tools will resolve these issues. There are several types of Data Quality tools on the market. Read the article and find ...
Simplify Customer Roll Out by Providing Healthy Data
Healthy data is high quality, trustworthy, cleaned up and compliant. The abundance of data can be overwhelming and make it incredibly difficult for your customers to assess what matters. Ensuring the health of the data a company deals with must be a ...