Why do SaaS payments matter?

Important Factors to Consider When Developing Retention-Oriented Payment Strategies

CONCLUSION

1. it can measure the voltage DC 5V~1000V, and the maximum current can be measured 2000
2. Using shunt sampling mode, standard 75mV sampling signal, high measurement accuracy, according to the actual current size of the site can be connected to different current specifications of shunts
3. DC meter has RS485 communication: for parameter setting and data reading; Support DTL645 protocol/Modbus protocol, baud rate can be set up to 115200bps
4. DC meter has overload alarm function: when the current exceeds the set threshold, the alarm light lights up and alarms
5. DC meter support multi-tariff function
6. Built-in switching relay output When the relay action is overcurrent, it can trigger external equipment to cut off the power supply
7. Firmware upgrade can be carried out through RS485 communication, and it can be used to change the function on site for new needs
8. It can measure DC power, current, voltage, electricity, etc., with current accuracy of 0.5%, voltage accuracy of 0.5%, accuracy level 1

Introduction

What Does a Data Analyst Do?

Data Analyst Job Description

1. Collecting and cleaning data: Data analysts gather relevant data from multiple sources, ensuring its accuracy and completeness. They clean and transform data to make it suitable for analysis.
2. Analysing and interpreting data: They apply statistical techniques to explore and summarise data, identifying trends and patterns. They use data visualisation tools to present their insights effectively.
3. They are generating reports: Data analysts create comprehensive reports highlighting key findings and actionable recommendations based on their analysis. These reports aid decision-making processes within the organisation.
4. Collaborating with stakeholders: They work closely with various teams, including business managers and data scientists, to understand their needs and provide data-driven insights to support strategic initiatives.
5. Monitoring data quality: Data analysts establish standards and ensure ongoing data accuracy and consistency.

What Does a Data Scientist Do?

Data Scientist Job Description

1. Data exploration and preprocessing: Data scientists acquire, clean, and transform data for analysis. They deal with unstructured data and apply advanced techniques for missing values and outliers.
2. Developing predictive models: They design and implement machine learning algorithms and statistical models to solve complex problems, leveraging their knowledge of algorithms, mathematics, and statistical methods.
3. Testing and evaluation: Data scientists rigorously test and evaluate the performance of their models, fine-tuning them to achieve optimal accuracy and efficiency.
4. Deploying models: They integrate models into production environments, ensuring scalability and reliability. It involves collaborating with software engineers and IT teams.
5. Continual learning and improvement: Data scientists stay updated with the latest advancements in data science and continually enhance their skills. They explore new algorithms and techniques to improve the accuracy and effectiveness of their models.

Data Scientists vs Data Analysts - Key Differences

1. Skillset: Data analysts possess specialised skills in data cleaning, statistical analysis, and visualisation, which are essential for conducting descriptive and diagnostic analytics. On the other hand, data scientists have a broader skillset encompassing advanced knowledge in mathematics, machine learning, and programming. It enables them to develop sophisticated predictive models and tackle complex problems.
2. Scope of analysis: Data analysts primarily work with structured data, exploring it through analysis to uncover insights and identify trends. In contrast, data scientists handle structured and unstructured data, leveraging machine learning algorithms and statistical models to make predictions and derive valuable insights.
3. Problem complexity: Data analysts typically focus on well-defined business questions and provide descriptive insights based on their analysis. In contrast, data scientists deal with more intricate problems that require them to develop and deploy models and algorithms. They often engage in exploratory research and experimentation to solve these complex challenges.
4. Decision-making impact: Data analysts support tactical and operational decision-making within organisations. Their insights provide valuable information for day-to-day operations. On the other hand, data scientists have a more significant impact on strategic decision-making. By delivering predictive models and actionable insights, they drive innovation and growth and shape the long-term direction of a business.
5. Technical expertise: Data analysts possess expertise in statistical analysis and data manipulation. They are proficient in tools and programming languages, enabling them to perform data cleaning, visualisation, and generate reports. In addition to statistical analysis and data manipulation, data scientists have advanced knowledge of machine learning algorithms, deep learning techniques, and statistical modelling and possess strong programming skills.
6. Job responsibilities: Data analysts are responsible for data cleaning, visualisation, and generating reports that provide descriptive and diagnostic insights to stakeholders. On the other hand, data scientists have a more comprehensive range of responsibilities. They engage in exploratory data analytics, develop and refine models, conduct testing and deployment, and collaborate with IT teams for scalable integration of their models into the organisation's systems.
7. Expected outcomes: Data analysts produce reports, dashboards, and visualisations that offer descriptive insights into the analysed data. Their work helps stakeholders understand past and current trends. On the other hand, data scientists generate predictive models, recommendations, and optimised solutions. Their work enables organisations to make informed decisions, predict future outcomes, and optimise processes to achieve desired outcomes.

Conclusion

• The applicant must have a valid CNIC/ B-Form number.
• Must be valid student as of closing date for application submission i.e., 30th Jun 2023

• Students enrolled in PhD/ MS/ MPhil or equivalent 18-year program.
• Students enrolled in a 4-year or 5-year bachelor’s degree program (morning and evening).
• Students enrolled in MBA Program (3.5 years, 2.5 years, and 1.5 years).

• Students enrolled at any private sector higher education institute (HEI).
• Students who have already received a laptop under any Federal or Provincial Government scheme.
• Foreign nationals, except students from AJK.
• If any student has not applied online or his/her application has not received through online portal.
• The eligibility for laptop award will also be determined at the time of distribution. If student(s) failed to produce the required documents and proof of academic performance, against the data which made him/ her qualified for laptop, he/ she shall not be awarded with laptop.
• Any selected student who passed out degree program prior to laptop distribution.

• Once the student has applied online (before the deadline) through the HEC online portal. Then the System which can filter eligible and ineligible students accordingly.
• The Focal Person of the relevant department, will verify the student’s data through their online focal person account, specifically, Name, CNIC, Department, Degree Level, Last exam percentage/ CGPA, etc.
• The sole responsibility of the verification rests with the University Focal Person.
• Any discrepancy found in student’s data then it will be amended accordingly by updating/ editing student data after obtaining student record from the Institute or from the student themselves.
• The focal person, upon the nature of the application can disapprove or verify the student or make the correction within given timeline.
• Each Institute will be given their share of laptops based on a predefined quote as outlined in eligibility and merit criteria.
• Once the deadline for verification from HEC has expired the automated process will run on the System to generate merit lists for each University by HEC.
• Then HEC will share the provisional merit list among the institutes for their cross check and institutes will cross check to reply within 15 days..
• After removal of the discrepancies from provisional merit list -if any, then HEC will share the final merit list among the Institutes accordingly.
• Every Institute must display the final merit list on their Notice board, Website or Social Media page with a timeline for the distribution.
• Similarly, Final Merit Lists will be published on an online portal, where every student and general public can view the merit status of each individual.

• Laptops will be purely distributed on merit basis in each degree program i.e. (PhD, MS/M.Phil. and 16 Years of education)
• Share will be determined as per university enrollment and the laptops Quota for each degree program will be determined (i.e., University Quota, Campus Quota, Degree program Quota, Department Quota and Years wise distribution).
• As per PM office directives Balochistan HEI’s quota has been fixed i.e., 14% (14,000 Laptops) will be distributed in Balochistan HEI’s. (Note: - Students from Balochistan’s accredited universities would be accommodated under this allocated quota).
• The remaining 86,000 will be allocated among public sector HEIs in accordance with their enrollment preferences.