What is HSE? Why is it important for the energy industry?
HSE or Health, Safety & Environment is an integrated approach to identify the potential hazards and take precautionary and preventive measures to mitigate any potential incidents' risks. HSE involves multidisciplinary functions to come together to avert or manage accidents and hazards.
The energy industry, particularly the petroleum industry, is prone to accidents due to its job nature. The equipment and machinery involved in the operations are enormous and can inflict serious injury. The world has often witnessed crude oil oozing out from wells uncontrolled and causing severe environmental issues.
Image source: johnkwan, Megapixl.com
The accidents do not only impact human lives but could also damage the natural ecosystem of the area. A proactive approach towards sound HSE management could diminish the probabilities of such accidents or incidents. The proper implementation of the HSE management could lower the severity of the incidents.
How is HSE implemented in the workplace?
The hazards and their severity are different in various industries. An oil leak from a well could damage the surrounding ecosystem, whereas any malfunction in the heavy equipment could even lead to amputations or loss of life instantaneously.
So, the companies chalk out their HSE policy based on the kind of risk their job poses and develop a system to manage the HSE challenges. The policies are written and made available to every employee for its implementation. The HSE policy must reflect the organisation's values and commitment towards employees, clients, and other stakeholders.
What are the key aspects of the HSE policy in the resource industry?
Key aspects of HSE policy can be listed as below:
The above points are general in nature and should be modified based on the State or country's work environment and regulations.
Define hazard, incident and accident.
The three terms are interlinked with each other. Hazard is a source or process that can cause harm or injury to the person engaged in the process or could lead to damage to the machinery and environment or a combination of all these.
Incidents are the events that can lead to accidents or have the potential to advance to accidents. The basic difference between hazard and incident is that incident is unplanned and had caused accidents in the past. If the operator identifies the faulting braking system during a routine check and rectifies it, then it is a hazard. If the same operator, while driving the hauling truck with loaded materials, finds out that the braking system is not working, then the situation turns into an incident.
An accident is an event that can cause injury or damage to the machinery or the environment. From the above example, the truck loses control and could cause accidents that can spill the loaded material in the surroundings, cause injury to the operator and people at the spot of the accident.
The mismatch of the three M's- Men, Material, and Method is always at the core of any accident. In any of three cases, hazard, incident or an accident, events should be reported properly, and a record should be maintained to avert such circumstances in the future.
Deepwater Horizon accident in the Gulf of Mexico
The Deepwater Horizon accident in the Gulf of Mexico is the biggest oil spill accident that the world has witnessed so far. The rig Deepwater Horizon was operating on the BP's Macondo Prospect in the year 2010 when a sudden blow out triggered a massive fire on the rig resulting in the death of 11 people.
The oil well flowed non-stop for 87 days, leaking around 3-4 million barrels of oil in the sea. The various investigation pointed out the human error in gauging the outcome of the possible short-cuts the BP took to complete the delayed project.
The cement that was supposed to fix the casing was not done placed properly, and BP ignored the good logging operations done to check and evaluate the cement job. Further, the blow out preventer (BOP) that was supposed to contain the hydrocarbon in the well did not work.
People involved in cleaning the seacoast after the spill (Image source: Kajornyot, Megapixl.com
The huge pressure of the oil threw the drill pipes out from the well and caused an explosion on the rig, which resulted in an extensive fire.
The specialist from around the world tried continuously to control the well but was finally done on the 87th day of the accident. The impact of the spill was enormous on the marine and local environment. Thousands of birds, fish and marine creatures died. The entire fishing industry was finished in the region, and beaches became inhabitable due to the assemblage of a huge quantity of crude oil.
BP had to pay US$65 billion in penalties and compensations. The accident could have been averted if the proper implementation of the HSE policy was ensured.
What is accounts payable? Accounts Payable (AP) is an obligation that an individual or a company has to fulfill for purchasing goods and services bought from their suppliers and vendors. AP refers to the amount that is not paid upfront and can be paid back in a short period of time. Hence, a good or a service purchased on credit to be paid in a short period will fall under AP. For individuals, AP may include the bill paid after availing services such as television network, electricity, internet connection, or telephone. Most of the time, the bill is generated after the designated billing period, depending upon the amount of consumption. The customers have to pay this obligation within a stipulated time to avoid default. What is accounts payable from a Company’s point of View? AP is the amount of money a company is liable to pay to its suppliers or vendors and clear dues for purchases of goods and services purchased from its suppliers or vendors. AP is required to be repaid in a short period, depending on the relationship with suppliers. It is essentially a kind of short-term debt, which is necessary to honour to prevent default. As the current liabilities of the company, AP is required to be settled over the next twelve months. It is presented in the balance sheet as the account payable balance. For example, Entity A buys goods from Entity B for US$400,000.00 on Credit. Entity A has to pay back this amount within 60 days. Entity A will record US$400,000.00 as AP while Entity B will record the same amount as Account receivable. AP is also a part of the cash flow statement. The change in the total AP over a period is shown in the cash flow statement, hence it is part of the company’s working capital. It is widely used in analysing the cash flow of the business and cash flow trends over a period. AP may also depict the bargaining power of the company with its vendor and suppliers. A vendor or supplier may give the customer a longer credit period to settle the cash compared to other customers. The customer here is the company, which will incur AP after buying goods on credit from the vendor. There could be many reasons why the vendor is providing a more extended credit period to the firm such as long-term relationship, bargaining power of the firm, strategic needs of the vendor, the scale of goods or services. By maintaining a more extended repayment period to supplier and shorter cash realisation period from the customer, the company would be able to improve the working capital cycle and need funds to support the business-as-usual. However, prudent working capital management calls for not overtly stretching the payable days as it might lead to dissatisfaction of supplier. Also, investors tend to closely watch the payable days cycle to determine the financial health of the business. When the financial conditions of a firm deteriorate, the management tends to delay the payment to their suppliers. Why accounts payable is an important part of Balance sheet and Cash Flow Statement? As inferred from the previous paragraphs, AP is part of the current liabilities of the balance sheet. This is an obligatory debt that has to be paid back within a time frame so that the company does not default. AP primarily consists of payments to be made to suppliers. If AP keeps on increasing over a period of time, it can be said that the company is purchasing goods or services on credit more, instead of paying up front. If AP decreases, it means the company is reducing its previous debts more than it is buying goods on credit. Managing AP is essential to have a stable cash flow. In a cash flow statement prepared through an indirect method, the net difference in AP is shown under cash flow from operating activities. The business entity can use AP to create the desired variation in the cash flow to some extent. For example, to increase cash reserves, management can increase the duration of paying back the credit taken for a certain period, thus affecting the net difference in AP. What Is the Role of Accounts Payable Department? Every company has an accounts payable department and the size and structure depend upon how big or small the enterprise is. The AP department is formed based on the estimated number of suppliers, vendors, and service providers the company is expected to interact with; the amount of payment volume that would be processed in a given period of time; and the nature of reports that a management will require. For example, a tiny firm with a low volume of purchase transactions may require a simple or a basic accounts payable process. However, a medium or a large enterprise may have a accounts payable department that may require a set of practices to be followed before paying back the credit. What is the Accounts Payable Process? Guidelines or a process is important as it provides transparency and smoothness in facilitating the volume of transactions in any time period. The process involves: Bill receipt: when goods were bought, a bill records the quantity of goods received and the amount that needs to be paid to the vendors. Assessing the bill details: to ensure that the bill or invoice copy includes the name of the vendor, authorization, date of the purchase made and to verify the requirements regarding the purchase order. Updating book of records after the bill is collected: Ledger accounts need to be revised on the basis of bills received. The department makes an expense entry after taking approval from management. Timely payment processing: the department takes care of all payments that need to be processed on or before their due date as mentioned on a bill. The department prepares and verifies all the required documents. All details entered on the cheque along with bank account details of the vendor, payment vouchers, the purchase order, and the original bill and purchase order are scrutinized. The department also takes care of the safety of the company’s cash and assets and prevents: reimbursing a fake invoice reimbursing an incorrect invoice making double payment of the same vendor invoice Apart from making supplier payments, AP departments also takes care of travel expenses, making internal payments, maintaining records of vendor payments, and reducing costs Business Travel Expenses: Bigger entities or firms whose business nature requires all personnel to travel, have their AP department manage their travel costs. The AP department manages the personnel’s travel by making advance payments to travel companies including airlines and car rentals and making hotel reservations. An account payable department may also deals with requests and fund distribution to cover travel costs. After business travel, AP may also be responsible for settling funds supplied versus actual funds spent. Internal Payments: The Accounts Payable department takes care of internal reimbursement payments distribution, controlling and petty cash controlling and administering, and controlling sales tax exemption certificates distribution. Internal reimbursement payments include receipts or both substantiate reimbursement requests. Petty cash controlling and administering includes petty expenses such as out-of-pocket office supplies or miscellaneous postage, company meeting lunch. Sales tax exemption certificates comprise AP department handling sales tax exemption certificates supply to managers to make sure qualifying business purchases excludes sales tax expense. Maintaining Records of Vendor Payments: Accounts Payable maintains information of vendor contact, terms of payment and information of Internal Revenue Service W-9 either manually or on a computer database. The AP department lets management know through reports on how much the business owes at present. Other Functions: The accounts payable department is also responsible to lessen costs by identifying cost structures and creating strategies to reduce the spending of business money. For example, minimising cost by making payment of the invoice within a discount period. The AP department also acts as a direct point of contact between an entity and the vendor. How to Calculate Accounts Payable in Financial Modelling Financial modelling enables calculating the average number of days a company takes to make bill payments. AP days can be calculated using the following formula: AP value can be calculated using the following formula: What is accounts payable turnover ratio? AP turnover ratio shows the capability of a firm to pay cash to its customer after credit purchases. It is counted as an essential ratio to analyse the cash management attribute of the firm and its relationship with vendors or suppliers. It is calculated by dividing purchases by average AP. Purchases by the company are calculated as the sum of the cost of sales and net inventory in a given period: Now let’s understand this with the help of an example. Let us suppose, Cost of sales of Company XYZ for the period was $60,000, and XYZ began with inventories worth $21000 and ended at $15000. AP at the beginning was $20000, and $15000 at the end. Now the purchases will be $66000 (60000+21000-15000). The average AP will be $17500. Therefore, the AP turnover ratio will be 3.77x. Dividing the number of weeks in a year by the AP turnover ratio will give the number of weeks the company takes on average to settle its payables. In this case, it will be around 13.8 weeks (52/3.77). What is the difference between Accounts Payable vs. Trade Payables? Though the phrases "accounts payable" and "trade payables" are used interchangeably, the phrases have slight differences. Trade payables is the cash that a company is obligated to pay to its vendors for goods and supplies which are part of the inventory. Accounts payable include all of the short-term debts or obligations of a company.
A report of overdue customer invoices and credit memos. It is an indicator of the financial health of the customers of the company, and regular reviewal of it would enable to track and control the liquid cash flow in the company.
What is Data Mining? Data mining is a process that facilitates the extraction of relevant information from a vast dataset. The process helps to discover a new, accurate and useful pattern in the data to derive helpful pattern in data and relevant information from the dataset for organization or individual who requires it. Key Features of data mining include: Based on the trend and behaviour analysis, data mining helps to predict pattern automatically. Predicts the possible outcome. Helps to create decision-oriented information. Focuses on large datasets and databases for analysis. Clustering based on findings and a visually documented group of facts that were earlier hidden. How does data mining work? The first step of the data mining process includes the collection of data and loading it into the data warehouse. In the next step, the data is stored and managed on cloud or in-house servers. Business analyst, data miners, IT professionals or the management team then extracts these data from the sources and accordingly access and determine the way they want to organize the data. The application software performs data sorting based on user’s result. In the last step, the user presents the data in the presentable format, which could be in the form of a graph or table. Image Source: © Kalkine Group 2020 What is the process of data mining? Multiple processes are involved in the implementation of data mining before mining happens. These processes include: Business Research: Before we begin the process of data mining, we must have a complete understanding of the business problem, business objectives, the resources available plus the existing scenario to meet these requirements. Having a fair knowledge of these topics would help to create a detailed data mining plan that meets the goals set up by the business. Data Quality Checks: Once we have all the data collected, we must check the data so that there are no blockages in the data integration process. The quality assurance helps to detect any core irregularities in the data like missing data interpolation. Data Cleaning: A vital process, data cleaning costumes a considerable amount of time in the selection, formatting, and anonymization of data. Data Transformation: Once data cleaning completes, the next process involves data transformation. It comprises of five stages comprising, data smoothing, data summary, data generalization, data normalization and data attribute construction. Data Modelling: In this process, several mathematical models are implemented in the dataset. What are the techniques of data mining? Association: Association (or the relation technique) is the most used data mining technique. In this technique, the transaction and the relationship between the items are used to discover a pattern. Association is used for market basket analysis which is done to identify all those products which customer buy together. An example of this is a department store, where we find those goods close to each other, which the customers generally buy together, like bread, butter, jam, eggs. Clustering: Clustering technique involves the creation of a meaningful object with common characteristics. An example of this is the placement of books in the library in a way that a similar category of books is there on the same shelf. Classification: As the name suggests, the classification technique helps the user to classify and variable in the dataset into pre-defined groups and classes. It uses linear programming, statistics, decision tree and artificial neural networks. Through the classification technique, we can develop software that can be modelled so that data can be classified into different classes. Prediction: Prediction techniques help to identify the dependent and the independent variables. Based on the past sales data, a business can use this technique to identify how the business would do in the future. It can help the user to determine whether the business would make a profit or not. Sequential Pattern: In this technique, the transaction data is used and though this data, the user identifies similar trends, pattern, and events over a period. An example is the historical sales data which a department store pulls out to identify the items in the store which customer purchases together at different times of the year. Applications of data mining Data mining techniques find their applications across a broad range of industries. Some of the applications are listed below: Healthcare Education Customer Relationship Management Manufacturing Market Basket Analysis Finance and Banking Insurance Fraud Detection Monitoring Pattern Classification Data Mining Tools Data mining aims to find out the hidden, valid and all possible patterns in a large dataset. In this process, there are several tools available in the market that helps in data mining. Below is a list of ten of the most widely used data mining tools: SAS Data mining Teradata R-Programing Board Dundas Inetsoft H3O Qlik RapidMiner Oracle BI
What is data warehousing? Data warehousing is defined as the method of gathering & handling data from different sources to get meaningful output and insights. Data warehousing is central to the BI system and is built for data analysis and reporting. Source: © nfo40555 | Megapixl.com In simple terms, a data warehouse is a large collection of data utilized by businesses to make investment decisions. What are the characteristics of data warehousing? Data warehouse has supported businesses in making informed decisions efficiently. Some of its key features are highlighted below: The data in a data warehouse is structured for easy access, and there is high-speed query performance. The end users generally look for high speed and faster response time – two features present in data warehousing. Large amount of historical data is used. Data warehouse provides a large amount of data for a particular query. The data load comprises various sources & transformations. What are the benefits of data warehousing? The Companies which used data warehousing for analytics and business intelligence found several advantages. Below are some of them: Better Data: When data sources are linked to a data warehouse, the Company can collect consistent and relevant data from the source. Also, the user would not have to worry about the consistency and accessibility of the data. Thus, it ensures data quality and integrity for sound decision making. Faster decisions: Through data warehousing, it is possible to make quicker decisions as the data available is in a consistent format. It offers analytical power and a comprehensive dataset to base decisions on tough truths. Thus, the people involved in decision making do not have to rely on hunches, incomplete data, and poor quality data. It also reduces the risk of delivering slow and inaccurate data. How does a data warehouse work? A data warehouse is like a central repository where the data comes from various sources. The data streams into the data warehouse from the transactional system and other relational databases. These data could either be structured, semi-structured or unstructured. These data get processed, altered, and consumed in a way that the end-user can gain access to the processed data in the data warehouse via business intelligence (BI) devices, SQL clients and spreadsheets. A data warehouse merges the data that comes from various sources into a complete database. The biggest advantage of this merged data is that the Company can analyze the data more holistically. It also makes the process of data mining smooth. Copyright © 2021 Kalkine Media Pty Ltd. Component of a data warehouse A data warehouse can be divided into four components. These are: Load Manager Load Manager, also known as the front component, does operations related to the mining and loading the data into a data warehouse. Load manager transforms the data for entering into Data warehouse. Warehouse Manager The warehouse manager manages the data within the data warehouse. It analyses data to confirm that the data in the data warehouse is steady. It also conducts operations such as the creation of indexes and views, generation of denormalization and aggregations, modifying and integrating the source data. Query Manager Query Manager is a backend component that does operations concerning the supervision of user queries. End-User access tools End-User access tools comprise data reporting, query tools, application development tools, EIS tools, data mining tools, and OLAP tools. Roles of Data Warehouse Tools and Utilities The tools and utilities in a data warehouse are used for: Data extraction: The data extraction process involves gathering data from heterogeneous sources. Data cleaning: Data cleaning consists of searching for any error in the data. Data transformation: Data transformation process involves changing the data into a data warehouse setup. Data loading: This process involves data sorting, recapping, consolidating, verifying integrity. Refreshing: This process requires revising data sources to the warehouse. Application of data warehouse Data warehouse plays a considerable role across multiple sectors. Some of the sectors it caters to are highlighted below. Aviation sector In the aviation sector, a data warehouse’s role can be seen in crew assignment, route profitability analysis, any promotional activity. Banking Industry In the banking sector, the focus is on risk management, policy reversal, customer data analysis, market trends, government rules and regulations and making financial decision. Through a data warehouse, banks can manage the resources available on the deck effectively. Banks also take the help of a data warehouse to do market research, analyze the products they offer, develop marketing programs. Retail industry Retailers act as an intermediary between the producers and the customers. Hence, these retailers use a data warehouse to maintain the records of both producers as well as the customer to maintain their existence in the market. Data warehouses help track inventory, advertisement promotions, tracking customer buying trends and many more. Healthcare industry In the healthcare industry, a data warehouse is used to predict the outcome of any test and taking relevant action accordingly. Data warehouses help them to generate patient treatment report, offer medical services, track the medicine inventory. Many patients visiting hospital have health insurance. Through a data warehouse, hospitals maintain the list of insurance providers. Investment and insurance sector In the insurance and investment sector, the role of data warehouse becomes important in tracking the data pattern, customer trend and market movement. Services sector In the services sector, a data warehouse is used for maintaining financial records, studying the revenue pattern, customer profiling, resource management and human resource management. Telecom The telecom sector uses a data warehouse in the promotion of its offerings, making sales decision, distribution decision, features to include in case they decide to launch a new product based on the customer requirement. Hospitality The hospitality sector involves hotel and restaurant services, car rental services etc. In this sector, the companies use a data warehouse to study the customer feedback on the various services offered and accordingly design and evaluate their advertising and promotion campaigns.