Data Services Provider RIMES Plans to Acquire Matrix IDM
- Financial details of the intended acquisition were not disclosed.

RIMES, an international strategic data partner for financial institutions, announced its intention to acquire Matrix IDM today, a leading investment data management platform based in Australia.
Through the Acquisition Acquisition Acquisition means acquiring or taking possession or the securing of property, services, or abilities. To put it simply, it is the act or process of acquiring or gaining. You can acquire a work of art, you can acquire an ability such as speaking another language, you can acquire a business or shares in a company and you can acquire an accountant's service. For example, you can acquire a new car. In a broad sense, Acquisition can mean the act of taking ownership or possession of something. There are many ways to acquire or to take the acquisition of property and services. How Companies Utilize AcquisitionsIn finance, the term acquisition is most often used when referring to taking control of a company. An acquisition can be either an agreed deal or a hostile takeover. Companies also may acquire units of a company, property, or other assets. An acquisition is when one business, person, or company purchases most if not of another company's shares to gain control of that company. Buying more than 50% of a target firm's stock and other assets allows the acquirer to make decisions about the newly acquired assets without the approval of the company's shareholders. In finance, there are several types of acquisitions that one speaks of when referring to Acquisitions and Mergers. A horizontal acquisition is when two companies come together with similar products/services. Conversely, a vertical acquisition means two companies join forces in the same industry, but they are at different points on the supply chain.Moreover, a conglomerate represents two companies in different industries join forces, or one takes over the other to broaden their range of services and products. Finally, a concentric acquisition occurs when companies will share customers but provide different services. Acquisition means acquiring or taking possession or the securing of property, services, or abilities. To put it simply, it is the act or process of acquiring or gaining. You can acquire a work of art, you can acquire an ability such as speaking another language, you can acquire a business or shares in a company and you can acquire an accountant's service. For example, you can acquire a new car. In a broad sense, Acquisition can mean the act of taking ownership or possession of something. There are many ways to acquire or to take the acquisition of property and services. How Companies Utilize AcquisitionsIn finance, the term acquisition is most often used when referring to taking control of a company. An acquisition can be either an agreed deal or a hostile takeover. Companies also may acquire units of a company, property, or other assets. An acquisition is when one business, person, or company purchases most if not of another company's shares to gain control of that company. Buying more than 50% of a target firm's stock and other assets allows the acquirer to make decisions about the newly acquired assets without the approval of the company's shareholders. In finance, there are several types of acquisitions that one speaks of when referring to Acquisitions and Mergers. A horizontal acquisition is when two companies come together with similar products/services. Conversely, a vertical acquisition means two companies join forces in the same industry, but they are at different points on the supply chain.Moreover, a conglomerate represents two companies in different industries join forces, or one takes over the other to broaden their range of services and products. Finally, a concentric acquisition occurs when companies will share customers but provide different services. Read this Term, RIMES is planning to bring together superior managed data services and powerful Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. Read this Term technology to help a broad range of financial institutions including institutional investors, asset management firms and other service providers solve difficult data issues.
RIMES outlined that Stuart Plane, Co-CEO of Matrix IDM, will become a part of the RIMES Executive Committee. The intended acquisition will expand the capabilities of RIMES. The company aims to provide quality data sets to leading financial institutions around the world.
"We believe this acquisition heralds a new era in the provision of data management solutions and is a pivotal moment for RIMES, Matrix IDM, our shared clients, and the industry. With Matrix IDM, we can offer an end-to-end solution that will enhance performance across our clients’ enterprise, from investment research to performance management to regulatory reporting,” Brad Hunt, CEO at RIMES, commented.
“In addition, the Matrix team brings an in-depth understanding of data management, sector knowledge and proven technical prowess. These attributes will help us to significantly accelerate the opportunities that the combined MDS and Matrix offering will deliver," Hunt added.
Data Services
In the latest announcement, RIMES highlighted the growing challenges in the use of investment data. The company mentioned that its innovative data management solutions will facilitate asset managers and other leading financial service providers.
"Data drives this vital industry and building advanced technology to support this has always been our passion. We strongly believe that being part of RIMES will enable us to accelerate the adoption of the Matrix IDM platform, which will be fueled by the highest-quality catalog of managed data sourced from the industry's broadest set of data providers. Combining our industry-leading capabilities into a single entity will empower our shared users to make even better-informed investment decisions," Plane said.
RIMES, an international strategic data partner for financial institutions, announced its intention to acquire Matrix IDM today, a leading investment data management platform based in Australia.
Through the Acquisition Acquisition Acquisition means acquiring or taking possession or the securing of property, services, or abilities. To put it simply, it is the act or process of acquiring or gaining. You can acquire a work of art, you can acquire an ability such as speaking another language, you can acquire a business or shares in a company and you can acquire an accountant's service. For example, you can acquire a new car. In a broad sense, Acquisition can mean the act of taking ownership or possession of something. There are many ways to acquire or to take the acquisition of property and services. How Companies Utilize AcquisitionsIn finance, the term acquisition is most often used when referring to taking control of a company. An acquisition can be either an agreed deal or a hostile takeover. Companies also may acquire units of a company, property, or other assets. An acquisition is when one business, person, or company purchases most if not of another company's shares to gain control of that company. Buying more than 50% of a target firm's stock and other assets allows the acquirer to make decisions about the newly acquired assets without the approval of the company's shareholders. In finance, there are several types of acquisitions that one speaks of when referring to Acquisitions and Mergers. A horizontal acquisition is when two companies come together with similar products/services. Conversely, a vertical acquisition means two companies join forces in the same industry, but they are at different points on the supply chain.Moreover, a conglomerate represents two companies in different industries join forces, or one takes over the other to broaden their range of services and products. Finally, a concentric acquisition occurs when companies will share customers but provide different services. Acquisition means acquiring or taking possession or the securing of property, services, or abilities. To put it simply, it is the act or process of acquiring or gaining. You can acquire a work of art, you can acquire an ability such as speaking another language, you can acquire a business or shares in a company and you can acquire an accountant's service. For example, you can acquire a new car. In a broad sense, Acquisition can mean the act of taking ownership or possession of something. There are many ways to acquire or to take the acquisition of property and services. How Companies Utilize AcquisitionsIn finance, the term acquisition is most often used when referring to taking control of a company. An acquisition can be either an agreed deal or a hostile takeover. Companies also may acquire units of a company, property, or other assets. An acquisition is when one business, person, or company purchases most if not of another company's shares to gain control of that company. Buying more than 50% of a target firm's stock and other assets allows the acquirer to make decisions about the newly acquired assets without the approval of the company's shareholders. In finance, there are several types of acquisitions that one speaks of when referring to Acquisitions and Mergers. A horizontal acquisition is when two companies come together with similar products/services. Conversely, a vertical acquisition means two companies join forces in the same industry, but they are at different points on the supply chain.Moreover, a conglomerate represents two companies in different industries join forces, or one takes over the other to broaden their range of services and products. Finally, a concentric acquisition occurs when companies will share customers but provide different services. Read this Term, RIMES is planning to bring together superior managed data services and powerful Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. Read this Term technology to help a broad range of financial institutions including institutional investors, asset management firms and other service providers solve difficult data issues.
RIMES outlined that Stuart Plane, Co-CEO of Matrix IDM, will become a part of the RIMES Executive Committee. The intended acquisition will expand the capabilities of RIMES. The company aims to provide quality data sets to leading financial institutions around the world.
"We believe this acquisition heralds a new era in the provision of data management solutions and is a pivotal moment for RIMES, Matrix IDM, our shared clients, and the industry. With Matrix IDM, we can offer an end-to-end solution that will enhance performance across our clients’ enterprise, from investment research to performance management to regulatory reporting,” Brad Hunt, CEO at RIMES, commented.
“In addition, the Matrix team brings an in-depth understanding of data management, sector knowledge and proven technical prowess. These attributes will help us to significantly accelerate the opportunities that the combined MDS and Matrix offering will deliver," Hunt added.
Data Services
In the latest announcement, RIMES highlighted the growing challenges in the use of investment data. The company mentioned that its innovative data management solutions will facilitate asset managers and other leading financial service providers.
"Data drives this vital industry and building advanced technology to support this has always been our passion. We strongly believe that being part of RIMES will enable us to accelerate the adoption of the Matrix IDM platform, which will be fueled by the highest-quality catalog of managed data sourced from the industry's broadest set of data providers. Combining our industry-leading capabilities into a single entity will empower our shared users to make even better-informed investment decisions," Plane said.