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Corporate Social Responsibility of Data Analysis Exercise
Posted by Matthew Harvey on Oct-17-2018
1. CSR at Data Analysis Exercise
CSR s embedded in the business philosophy of Data Analysis Exercise. At Data Analysis Exercise, the business operations and processes are designed in a way that they do not become an obstacle or a burden in the way of people’s and the environment’s wellbeing. At the same time, these processes and designs boost business growth. The systematic design of operations at Data Analysis Exercise enables the management to ensure that the organization achieves sustainable business growth by reducing attached risk factors as well as through community building goals and ambitions. Data Analysis Exercise strives to increase its social impact and influence on the environment and in people’s lives- by focusing on three big goals.
1.1. Values at Data Analysis Exercise
Data Analysis Exercise works for CSR through the CSV approach. This is made easier to incorporate in the company systems because of the core values practised at Data Analysis Exercise. These are:
Respect – for every one
- Trust
- Integrity
- Honesty
- Accountability
1.2. CSR goals at Data Analysis Exercise
1.2.1. Improving livings standards for communities through increasing employment opportunities
Data Analysis Exercise believes in working for the people, and working with the people. With the growth of the business across the world, Data Analysis Exercise ensures that it creates new employment and livelihood opportunities for millions across the globe. This is done through direct employment and contracts, as well as through inclusive business opportunities.
1.2.2. Enhancing the health and wellbeing of communities engaging with Data Analysis Exercise
Data Analysis Exercise works with communities at large and aims to help them become healthier and happier. Data Analysis Exercise provides nutritional boosting and support to communities where it runs operations, as well as to other communities living in regions marked below poverty. Additionally, Data Analysis Exercise also produces and distributes health and hygiene products to enhance the wellbeing of its customers along with the various communities it has engaged with.
1.2.3. Reducing environmental footprint
Data Analysis Exercise works towards reducing its environmental footprint by ensuring that it allows the legislation regarding carbon production and release. Also, Data Analysis Exercise works towards designing operational processes that reduce water and land pollution. All products manufactured and distributed by Data Analysis Exercise come with a disposal method to reduce wastage, and increase recycling.
2. Creating shared value (CSV) at Data Analysis Exercise
Data Analysis Exercise works hard to create value for not only the shareholders but for the society at large. This approach of creating shared value has enabled impressive business growth for Data Analysis Exercise, as well as allowing its expansion regionally as well as in its product portfolio. Through creating shared value, Data Analysis Exercise brings value to the lives of communities where it operates by influencing those aspects of the society which intersect and coincide with the business offerings and business operations.
2.1. How to maximize value creation?
Through the CSV approach, Data Analysis Exercise can create the most value in the following aspects:
2.1.1. Nutrition
Data Analysis Exercise focuses on investing in the health of communities by focusing on nutrition and medication, as well as on sanitation and hygiene. The primary focus remains on ensuring health safety for children and infants.
2.1.2. Water
Data Analysis Exercise works hard with third parties and external as well as internal support systems to ensure that its operations do not cause water damage. In addition, it administers all its internal sewage plants to dispose of waste optimally without risking water life.
2.1.3. Air cleansing
Data Analysis Exercise maintains carbon units as per legislation in all its operations across the globe. The company also takes responsibility for ensuring that all its industrial sites and operations are placed away from residential areas to reduce maximum exposure of plant operations to the public.
2.1.4. Rural development
Data Analysis Exercise strives to develop communities where it operates. This includes rural communities and settlements from where Data Analysis Exercise gets its raw materials and inputs as well as labour. Data Analysis Exercise created varied employment and livelihood opportunities for these communities to help them raise their living standards and quality of life.
3. Commitments made by Data Analysis Exercise
Commitments at the Data Analysis Exercise have helped shape its CSR and CSV approach based on multiple trends from across the globe. These commitments have helped Data Analysis Exercise maintain focus in giving back to the community as well as in developing a more sustainable environment and workplace. Commitments are the long term goals that Data Analysis Exercise wants to fulfil and achieve in the following different aspects:
3.1. For individuals and families
3.1.1. Living healthier lives
For families and communities, the CSV approach of Data Analysis Exercise focuses on helping individuals attain a balance between healthy nutrition and physical exercise as a means of a healthier lifestyle and healthy living. With today’s work style and busy schedules, this is quite a challenge. Data Analysis Exercise works intending to develop programs and products to help communities manage time well and stay motivated towards increasing their wellbeing.
3.1.2. Having nutritional knowledge
Data Analysis Exercise works with the long term aspiration of enhancing the lifestyles of communities. The company plans to do it by sharing information regarding nutritional facts, and by raising awareness of nutritional intake. The company does this by not only making the nutritional value available for its own manufactured products but also develops programs and information sharing networks to help individuals learn about healthy eating and make informed dietary decisions.
3.2. For communities
3.2.1. Rural development
Data Analysis Exercise works towards developing rural communities-especially where it is operational and present. The company engages not only in employment creation but also infrastructure development and education deployment programs to help communities improve their living standards. Data Analysis Exercise also conducts vocational training programs frequently.
3.2.2. Promoting diversity
Data Analysis Exercise also works towards inclusion through its diversity programs. The company has designed programs and policies to ensure the inclusion of all community groups in the employment cycle. In addition, the company also conducts training and skill enhancement sessions for all community groups –including disabled and special persons
3.3. For the planet
3.3.1. Protecting water
Data Analysis Exercise understands the need for protecting water resources across the globe and is also an active fighter for water preservation. With the high scarcity of clean drinking water, Data Analysis Exercise works and strives to provide communities with clean drinking water through having installed filter plants
3.3.2. Protecting natural resources
With increased urbanization, natural landscapes of forests and grasslands have quickly turned into urban centres. Data Analysis Exercise ensures that all its operational sites are designed in a way that they do not harm or risk the natural ecosystem. In addition, the company works towards protecting the environment by building green spaces.
3.3.3. Safeguarding the environment
The operations of Data Analysis Exercise, like other players in the industry, are being affected by the climatic changes, and the weather alterations. To fight this change, and to safeguard the environment, Data Analysis Exercise works towards creating safe green spaces through high rate plantations. This is to ensure environmental sustainability and enrichment of the ecosystem.
4. Value chain at Data Analysis Exercise and CSR
At Data Analysis Exercise, SCR is embedded in the company DNA. Data Analysis Exercise ensures that the CSV approach is integrated into all operations and systems at the company, including THE VALUE CHAIN.
4.1. Supply chain
4.1.1. Rural development
Data Analysis Exercise allies with farmers and other partners to obtain the high quality raw material. In doing so, the company ensures that it invests in the wellbeing in the development of its partners and related communities through educational opportunities as well as various training programs and infrastructure development.
4.1.2. Responsible sourcing
Data Analysis Exercise participates in responsible sourcing. All its partners throughout the supply chain and for raw materials have been tested against set ethical backgrounds to ensure that all raw sources and materials are obtained from partners doing sustainable business.
4.1.3. Animal welfare
In all its sourcing, Data Analysis Exercise ensures that no animals are harmed. Data Analysis Exercise makes sure that all animals are fed high quality fodder, and that they are kept in a clean and safe environment. In addition, Data Analysis Exercise also provides safe breeding grounds for animals and regularly authorizes veterinary check-ups for all animals in partner farms.
4.1.4. Human rights
Data Analysis Exercise is also particularly careful to ensure that all human rights are upheld in its business operations. This includes no child labour, and inclusive diversity, amongst other things. Also, the business operations of Data Analysis Exercise also include high dependence on local workers for labor and management – making sure all local and global human rights are followed thoroughly.
4.2. Manufacturing
4.2.1. Water, sanitation and hygiene
During the manufacturing process and value additions, Data Analysis Exercise maintains an emphasis on water, sanitation and hygiene. All plants and manufacturing units operated by Data Analysis Exercise have an authorized sanitation system in place which ensures minimal water wastage. Besides, all industrial waste is disposed of off through authorized channels only – ensuring that no natural water body and water source is harmed or polluted.
4.2.2. Natural resource stewardship
Data Analysis Exercise is also an active pioneer of natural resource stewardship. Data Analysis Exercise has devised ways to ensure that natural resources are sustainably used for industrial operations, and are not damaged during business processes. Data Analysis Exercise shares this knowledge publicly for the overall welfare of the environment and the planet.
4.2.3. Women empowerment
During its manufacturing process, the Data Analysis Exercise also ensures to employ women labour in various managerial and operational level jobs. These women are usually from local communities and are trained for new skill development and enhancement. In doing so, Data Analysis Exercise ensures that women are equipped with the confidence and decision making abilities s that they advance not only in their professional but also in their personal and social lives.
4.3. Retail and consumers
4.3.1. Responsible marketing and influence
Data Analysis Exercise makes sure to use ethical means of marketing its products. This means not only does it disseminate rightful information and data regarding the company, but also makes sure that it does not use unethical appeals in its marketing communication.
4.3.2. Marketing to children
Data Analysis Exercise is also careful in its marketing to children so that it is not exploitative. Rather, marketing to children is done through influencing adults towards the products offered by Data Analysis Exercise.
4.3.3. Product Safety
Data Analysis Exercise ensures product safety in consumption at all times. This is done not only through mentioning nutritional value and facts but also through a clear statement of manufacturing dates and batches. This is to make sure that consumers are aware of the product quality and life cycle. Also, the company mentions clear ways and processes of disposing of the products to ensure that the environment is sustained and not harmed.
5. Working towards achieving sustainable goals
The CSR and CSV approach at Data Analysis Exercise is closely guided by the sustainable development goals chalked out by the United Nations. Through working on the attainment of the SDGs, Data Analysis Exercise, and many other companies work together to create a peaceful and harmonious future that has sustainable resources and environment.
Through connecting Data Analysis Exercise’s goals and commitments with the SDGs, the company has created avenues of channelling a positive impact on society through its operations and business as a whole.
5.1. No poverty
- Data Analysis Exercise creates opportunities for skill enhancement and vocational training
- Data Analysis Exercise also provides equal employment opportunities to all labours from the local communities
- Data Analysis Exercise promotes and supports small business ventures through inclusive business support and funding – especially for women who are micro-entrepreneurs in the community
5.2. Zero hunger
- Data Analysis Exercise works towards implementing a model of less food wastage and food loss – in the manufacturing as well as the supply chain process
- Data Analysis Exercise provides subsidized products in communities that are living below the poverty line, as well as in communities where it is operational and has industrial units and sites
- Data Analysis Exercise has developed recycling plants in local communities to ensure that there is no food wasted during consumption, and it is recycled into other products needed for a sustainable environment
5.3. Clean water and sanitation
- Data Analysis Exercise strives to ensure high water efficiency and water sustainability in all business operations and processes
- Data Analysis Exercise advocates and also internally implements positive water policies
- Infrastructure developed by Data Analysis Exercise in different rural communities and settlements ensures authorized sewage networks and lines to avoid dumping in freshwater reserves
5.4. Life on land
- Data Analysis Exercise works towards establishing the green supply chain
- Data Analysis Exercise ensures that no Green spaces are destroyed for its business and industrial purposes, and also works towards creating healthy green spaces through numerous plantations
- Data Analysis Exercise places a high emphasis on maintaining regular health check-ups for all community members – free of cost, and also focuses on animal welfare for farmers
5.5. Good health and well being
- Data Analysis Exercise works towards improving the living standards and quality of life of communities it engages with
- For farmers, Data Analysis Exercise has also improved farm economics
- Data Analysis Exercise works towards protecting the children in the supply chain processes, as well as creates diverse livelihood opportunities for adults
5.6. Quality education
- Data Analysis Exercise provides a hands-on learning opportunity for young adults from local communities through internship opportunities
- Data Analysis Exercise also sponsors various scholarship programs for different grade levels in communities where it is operations
- Data Analysis Exercise has inaugurated primary schools in three different regions where it has operations – in rural settlements – as a step towards achieving quality education for all.
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