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Evolution Of Information Systems

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Before the 1960s, infor
mation systems were predominantly basic. The available programme served the following purposes: electronic data processing (EDP) functions as transactions processing, accounting and record-keeping. EDP refers to the use of computer systems in recording, classification, manipulation, and summarising of data. EDP is synonymous with transaction processing systems (TPS), information processing or automatic data processing. These process data from business transactions facilitate the updating operational databases, and generating business documents. Good examples include accounting systems and sales and inventory processing.
In the 1960s, computers received an additional role: data processing to useful informative reports. This introduced the management information systems (MIS) concept. This new role sought to develop business applications which offered managerial end users predefined management reports that supplied managers with relevant information for decision-making. Management information systems are a source of information represented in form of reports and displays utilized in business decision making. These include sales analysis, cost trend reporting systems, and production performance.
By the 1970s, the pre-defined management reports no longer seemed adequate in supporting various decision-making needs by management. As a means of satisfying these needs, decision support systems (DSS) emerged as a new information management system. These new information systems serve to provide various managerial end users with both ad hoc and interactive support systems for their decision-making processes. Generally, decision support systems offer interactive ad hoc support for managerial decision-making processes. Examples of these include product pricing, risk analysis systems, and profitability forecasting.
In the 1980s, microcomputers were first introduced into the workplace, with a profound impact on organisations. There was rapid development of microcomputer processing power, application software packages (such as Microsoft Office), as well as telecommunication networks. This resulted in the new end user computing phenomenon. End users were able to use their own computing resources in the day-to-day job needs, thus eliminating their reliance on indirect support of centralized organisational information services department. However, it was realised that majority of senior executives did not use directly the MIS reports or the analytical modelling capabilities of the DSS. This inspired the introduction of the executive information systems (EIS) concept that provide critical information from existing MIS, DSS and other sources to meet information needs of senior executives.
At the same time, there were significant breakthroughs in the development and use of artificial intelligence (AI) methods to business information systems. The reducing need for physical human intervention led to the freeing up of knowledge workers to attend to more complex tasks. Expert systems (ES) together with knowledge management systems (KMS) brought about the new role for traditional information systems. ES could now serve as consultants to users through the provision of expert advice in particular subject areas. Today, ES or KMS serve as expert advisers and consultants to users. They include credit application advisor, maintenance diagnostic systems, and process monitor. KMS are crucial in supporting the creation, organisation and relaying of business knowledge in the organization
In the period between the mid and late 1990s, there was a revolutionary development of enterprise resource planning (ERP) systems. This is an organisation-specific form of strategic information system. It incorporates the various departments of a firm from operations to accounting to human resources among others. The main strength of these ERP systems is that they have a common interface for the different computer-based organizational tasks and their precise integration and data sharing required for efficient strategic decision making.
MIS to e-Commerce
The exponential development of the Internet and other interlinked global networks during the 1990s significantly improved the ability of information systems in the workplace. As a result, web-enabled and Internet-based enterprise, commerce systems and global electronic business have become commonplace in today’s business enterprises.
Present information systems still undertake the same basic functions they did over half a century ago. These include processing of transactions, record-keeping, provision of useful and informative data to management, and provision of support to processes and accounting systems of the organisation. Nonetheless, there is a significant change in the form of greater ability of information systems to integrate various system functions across different applications and greater connectivity across similar and differentiated system components. Today’s management systems also provide organisations with the ability to relocate such critical computing tasks as processing, data storage, and presentation that enable taking of advantage of the existing and potential strategic and business opportunities.
The continued technological innovation promises increased development in the capabilities of information systems as focus turns on how to increase the speed and coverage of the systems. There is therefore the potential for increased integration and greater flexibility in the future. The Internet, its related technologies and support applications, have significantly evolved the manner in which organizations function and people work. It also impacts the way information systems provide support to business processes, managerial decision-making and create competitive advantage. Businesses are increasingly taking advantage of Internet technologies by web-enabling their business processes and creating innovative e-business applications. Today, e-business refers to the utilisation of various Internet technologies in the workplace and business processes and engaging with customers and other business stakeholders.
The internet and Internet-like networks (intranet and extranet) are now the primary IT infrastructure providing support to various commercial applications in many companies. Most businesses are now dependent on various e-business applications in re-engineering their internal business processes, implementing electronic commerce systems with customers and other stakeholders, and promoting enterprise collaboration among different business teams and workgroups.
Modern decision-making Information systems support various management decision-making at different levels of management. These include tactical management, strategic management, and operational management.
Strategic management relates to the typical roles of the board of directors and the executive committee consisting CEOs and top executives. This refers to development of the overall corporate goals, policies, strategies, and objectives, which comprise strategic planning process. Also, it relates to monitoring of the strategic performance of the business and its overall trajectory in the economic, political and competitive business environment.
Tactical management – Increasingly, business professionals both in self-directed teams and business unit managers are developing short- to medium-range plans, budgets, and schedules. The plans contain specified policies, procedures and business goals and objectives for the different subunits of the organization. There is also allocation of resources and monitoring of performance of the organisational sub-units
Operational management – Operating managers and members of various self-directed teams are increasingly developing such short range plans as weekly production schedules. These are useful in directing the use of resources among different sub-units as well as the execution of tasks following established procedures, budgets and schedules.
Information systems that enhance the value of information include data warehouse, data mining, and online analytical processing.
Data warehouse (DW) – It is used for storing data extracted from various operational databases, external databases and other databases. Thus, it is therefore a central source of corporate data that has undergone cleaning, transformation and cataloguing for use by management and other business professionals. This data is used at the crucial step of data mining, analytical processing, market research and key decision support.
Data mining (DM) – Data retrieved from DW databases as well as static data are extracted for business processes. The extracted data aids in identifying hidden patterns and trends in historical business activity; making it an important tool for decision-making within an organization. The strategies that management generates are what enable them to gain a competitive edge as well as improve their business performance..
Online Analytical
Processing (OLAP)
OLAP enables managers and analysts to examine interactively, and manipulate, large amounts of detailed and consolidated data from many angles. It involves analyzing complex relationships within data items that are stored in data marts, DW and other multi-dimensional databases. An OLAP session takes place online in real time, with rapid responses to a manager’s or analyst’s queries, so that their analytical or decision-making process is not delayed.
Wori is a US-based Systems Analyst

 

Okeh Wori

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Two Federal Agencies Enter Pack On Expansion, Sustainable Electricity In Niger Delta

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The Niger Delta Development Commission (NDDC) has signed a Memorandum of Understanding (MoU) with the Rural Electrification Agency (REA) to expand access to reliable and sustainable electricity across the Niger Delta region.
The agreement, signed at the headquarters of the REA in Abuja, was targeted at strengthening institutional collaboration and accelerating development in underserved communities in the region.
A statement by the Director, Corporate Affairs of the NDDC, Seledi Thompson-Wakama, said the pact underscores renewed efforts by the two federal interventionist agencies to deepen cooperation and fast-track infrastructure delivery.
Speaking at the signing ceremony, the Managing Director of the NDDC, Dr Samuel Ogbuku, described the MoU as a strategic step towards realising the Commission’s vision to “light up the Niger Delta” in line with national priorities on distributed energy expansion.
Ogbuku said the agreement represents a shared institutional responsibility to deliver reliable energy solutions that will enhance livelihoods, stimulate local economies and create broader opportunities across the nine Niger Delta states.
According to him, electricity remains a critical enabler of national development, supporting job creation, healthcare delivery, education and inclusive economic growth.
He noted that the collaboration would help unlock the economic potential of rural communities while advancing broader national development objectives.
The NDDC boss added that the Commission has consistently adopted partnership-driven approaches in executing projects in the region and is prepared to support the implementation of the MoU by leveraging its community presence and infrastructure development capacity.
He reaffirmed the Commission’s commitment to working closely with the REA to ensure the timely and effective execution of the agreement.
The NDDC delegation at the event included the Executive Director, Projects, Dr Victor Antai; Executive Director, Corporate Services, Otunba Ifedayo Abegunde; Director, Legal Services, Mr Victor Arenyeka; Director, Finance and Supply, Mrs Kunemofa Asu; and Director, Liaison Office, Abuja, Mrs Mary Nwaeke.
In his remarks, the Managing Director of the REA, Dr Abba Abubakar Aliyu, described the MoU as a natural collaboration between two agencies with complementary mandates, reflecting a shared commitment to expanding access to sustainable electricity in rural communities.
Aliyu said the Niger Delta remains central to Nigeria’s economic fortunes and must be supported by infrastructure capable of driving productivity, enterprise and improved living standards, adding that the partnership signals readiness to deliver stable power to communities that have long awaited reliable electricity supply.
By: King Onunwor
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Why The AI Boom May Extend The Reign Of Natural Gas 

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Artificial intelligence is often viewed as a catalyst for electrification and subsequently decarbonization. Yet one of its most immediate effects may be the opposite of what many assume. The rapid buildout of AI infrastructure is increasing demand for reliable power, and that reality could strengthen the role of natural gas and other dispatchable energy sources for many years.
Investors focused on semiconductors and software valuations may be overlooking a key constraint. AI runs on electricity, and those electricity systems operate within physical and economic limits.
The energy sector has spent much of the past decade grappling with slow load growth. That is now changing, in a way that is reminiscent of the sharp rise in oil demand—and subsequently price—in the early 2000s.
Training large language models and operating advanced AI systems requires enormous computing resources. Hyperscale data centers are expanding rapidly, with developers requesting gigawatt-scale interconnections from utilities. In several regions, electricity demand forecasts have been revised upward after years of flat expectations.
This shift is significant because AI workloads create continuous, high-density demand rather than intermittent usage. Data centers cannot simply power down when the electricity supply becomes constrained. Reliability becomes paramount.
Wind and solar capacity continues to expand, but intermittent generation alone cannot meet the firm capacity needs of AI infrastructure without significant storage or backup generation.
Battery storage is improving, yet long-duration storage remains costly at scale. Nuclear projects face long development timelines and complex permitting hurdles. Transmission expansion also lags demand growth in many regions.
These constraints make dispatchable power sources critical. Natural gas plants can ramp quickly, operate continuously, and be deployed faster than many alternatives. As a result, gas-fired generation is increasingly viewed as a practical solution for supporting AI-driven load growth.
This does not undermine the role of renewables. In many markets, new renewable capacity is paired with gas generation to maintain grid stability. The key point is that AI-driven electrification is likely to increase fossil fuel usage in the near term.
Construction timelines favor gas-fired generation when demand rises quickly. Existing pipeline infrastructure reduces barriers to expansion. And for operators of data centers, reliability often outweighs ideological preferences. Downtime is simply too expensive.
Utilities are also revisiting resource plans as load forecasts rise. That shift may drive increased investment in transmission, grid modernization, and flexible generation assets.
The Decarbonization Story Is Complex
A common narrative holds that AI accelerates the transition away from fossil fuels because it increases electrification. The reality is more nuanced.
If electricity demand outpaces the buildout of low-carbon capacity, fossil generation may still increase in absolute terms even as renewables gain market share. Total emissions could rise, but the carbon intensity of the energy system may trend lower as cleaner sources make up a larger share of supply.
Ultimately, energy systems evolve based on engineering and economics, not just policy goals or market narratives.
Rising power demand could benefit utilities investing in transmission and generation capacity. Natural gas producers and midstream companies may see structural demand support from increased power-sector consumption. Equipment suppliers tied to grid reliability and gas turbines could also gain from the shift.
Longer term, advances in nuclear, storage, or efficiency may change the trajectory. For now, the immediate response to surging electricity demand is likely to rely on technologies that can be deployed quickly and reliably.
Artificial intelligence may reshape the economy in profound ways. One of the least appreciated consequences is that it may extend the relevance of natural gas as the world builds the energy backbone required to power the next generation of computing.
By: Robert Rapier
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Ogun To Join Oil-Producing States  ……..As NNPCL Kicks Off Commercial Oil Production At Eba

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Ogun State is set to join the comity of oil producing states in the country following the discovery and subsequent approval of commercial oil exploration activities in the Eba oil well, in Ogun Waterside Local Government Area of the state.
A technical team from the Nigerian National Petroleum Company Limited (NNPCL) has visited the area as preparations are in advanced stage for commencement of commercial drilling operations in the state.
The inspection followed President Bola Ahmed Tinubu’s approval for commercial exploration, forming part of the federal government’s efforts to deploy the required technical capacity and infrastructure for production.
Officials of NNPCL carried out the exercise alongside representatives of the Nigerian Upstream Petroleum Regulatory Commission (NUPRC) and national security agencies to evaluate the site and confirm its readiness for drilling activities.
The delegation was led by Project Coordinator for Enserv, Hussein Aliyu, who headed the NNPCL Enserv technical team.
Other members included Wasiu Adeniyi, Onwugba Kelechi, Engr. Rabiu M. Audu, Ojonoka Braimah, Ahmad Usman, Akinbosola Oluwaseyi, Salisu Nuhu, James Amezhinim, Yusuf Abdul-Azeez, Amararu Isukul and Livinus J. Kigbu.
Speaking, Governor Dapo Abiodun, described the development as a landmark achievement for Ogun State, saying “the commencement of drilling at Eba would stimulate economic growth, create employment opportunities and attract increased federal presence to the state’s coastal communities.
Abiodun also expressed appreciation to President Tinubu for his support toward the development of frontier oil basins and the equitable spread of the nation’s energy resources.
Recall that geological reports had earlier confirmed the presence of hydrocarbons within the Ogun Waterside axis, leading to preliminary surveys and technical engagements by NNPCL.
The Ogun State Government also carried out an independent verification of the oil well’s coordinates, affirming the discovery is located within the state’s boundaries.
To secure the project, naval security personnel have been deployed to the site for over 18 months, with the support of the Ogun State Government, to protect the facility and its environs.
The Eba oil well is regarded as part of Nigeria’s strategic move to expand oil production beyond the Niger Delta region.
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