Sesam

In today's fast-paced business world, being data-driven is crucial for success. Organisations need to utilise data from various sources to make informed decisions that drive their business forward. In this article, we will explore key tips for successfully managing data, including identifying master data, having a flexible data architecture, prioritising data quality, and understanding the potential of your data. By following these tips, organisations can unlock the full potential of their data and gain a competitive advantage in the digital business landscape.

Read the article here: https://sesam.pub/41aXLxh

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 inconsistencies in data and can lead to poor decision-making as units may not receive the necessary information or receive incorrect data.

Businesses need to prevent data silos from occurring to promote effective communication among all departments and allow for better use of data to grow the business. Preventing data silos can reduce data costs by optimizing IT resources and allocating them to other critical areas. The process of breaking down silos involves data integration and implementing a solid data management and governance strategy.

A TechTarget article provides a comprehensive explanation of what data silos are, how to prevent and eliminate them, and the benefits that your business can gain from doing so.

What are Data Silos and What Problems Do They Cause? Learn what data silos are, why they create problems for organizations and how to break down silos and prevent them from occurring in IT systems.

For a long time, businesses have been facing a common challenge of their computer systems not communicating effectively with each other, resulting in poor data quality and limited business growth opportunities. To address this, many companies choose to integrate their systems. Although aimed to create a seamless flow of data, this process can be challenging, expensive, and time-consuming, resulting in high costs.

Our newest product Sesam Talk is the solution to this challenge. Our technology allows for full automation of data synchronisation, removing the need for system integration.

Read the full article here (4 min)!

https://sesam.pub/3Tdy1Nv

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 tasks and make important decisions, and for this to work you need the data to be of good quality.

Getting good data quality is essential, but can also be challenging. Oftentimes, when data is retrieved from one system it loses its meaning making it worthless to other systems and to the users in need of that data.

With Sesam Talk we synchronise data, letting each system maintain its own model and communicate in its own language using semantics, making sure that all your systems are always updated with the right information. Read our article on how to get data value with Sesam Talk.

https://sesam.pub/3L507sa

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 businesses use data and help businesses improve efficiency, forecast customer demand, increase customer satisfaction, and make more informed decisions. We’ve gathered some articles predicting this year’s data analytics and SaaS trends, covering topics such as Artificial Intelligence, Data Democratisation, Cloud Computing and Data Governance.

Read the blogpost here: https://sesam.pub/3JjmhpV