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What do I need to do to be a great CEO?
We all want to know the secrets to being a great CEO. So wouldn’t it be great if we actually were able to compare two CEOs in the exact same industry to see why one was better than the other?I was really fortunate to work with two CEOs in the same industry, so I got to see the differences up close. One of the CEOs was a great leader, and the other CEO was not a great leader.The two CEOs were very similar in many ways. They were of the same generation. They both grew up poor/lower middle class.They both had sizable egos. And they both enjoyed some of level of success.However, one of the CEOs, the late Jack Gifford, built his company (Maxim Integrated Products) to over $2B/year in revenue. The other CEO (we will call him “Bob”) wanted to build a $1B/year company, but his company was stuck for years with revenue of around $200M/year.Eventually, activist investors forced Bob to sell his company. Bob had missed too many plans for too long, and Bob lost the support of his board of directors.Why was Gifford so successful as a leader and Bob not so successful?As I said, Gifford and Bob were similar in many ways. However, Gifford and Bob were different in some very important ways too.It’s the differences between Gifford and Bob that explain why Gifford was so much more successful than Bob.Jim Collins in his masterwork, “Good To Great” developed a framework for evaluating leaders. I’ll use Collins• framework to evaluate Jack and Bob.Interestingly enough, Gifford and Bob were markedly different in each of category:Difference #1: Getting the right people on the bus.One of the great things I learned working at Maxim was the importance of having a great team. Every department of the company was full of A players.Everything is so much easier when you work with A players. You almost take it for granted that things will get done.I would say 80% of the employees at Maxim were A players. So it was a great shock when I started working with Bob and maybe 20% of the employees were A players.Mediocrity becomes the norm when you are working with B and C players. You have to replace everyone when you are in an environment of B and C players.So I ended up replacing all of my direct reports except for one. Then, I had the ability to move forward and turn the division I was running from unprofitable to profitable.The rest of Bob’s company didn’t make sweeping changes. The company remained stuck in mediocrity.Difference #2: Confront the brutal facts.Gifford used to have an absolute paranoia about what was wrong at Maxim. It didn’t matter how well the business was doing, there was always a way to get better.In fact, Maxim underwent some of its biggest improvements when things were going well. Complacency just wasn’t in Gifford’s vocabulary.Bob on the other hand, only wanted to hear what was going well.Bob hired me to “bring us up to your level.” At least that was the pitch.The reality was something much different.I’ll never forget presenting to Bob a status of the division I had taken over. The division’s revenue had dropped from $100M/year to $10M/year in the year before I joined the company.It was my job to turn the division around. The issues were not complex to fix, so I was excited to explain how to fix the division to Bob.“Now you’ve done it!” Bob said after I explained the first thing we needed to fix.“Now you’ve done it!” Bob said after I explained the second thing we needed to fix.“Now you’ve done it!” Bob said after I explained the third thing we needed to fix.Bob then stood up looked at me and said, “I never want to have another meeting like this again.”Bob then walked out the door.Nowhere was the difference between Gifford and Bob more obvious to me. Gifford would have demanded knowing where the problems were.Working with Gifford was not for the faint of heart. Sometimes the meetings with Gifford were messy.And sometimes the meetings with Gifford became violent yelling matches. More often than not, problems were uncovered and resolved.Bob didn’t want to know where the problems were. In Bob’s case, the emperor truly had no clothes.I never in my remaining time working with Bob ever told him about another problem again.Difference #3: The Hedgehog Concept.The Hedgehog concept means it’s not enough for you to just have been in business for years, but you have to be the best in something.Maxim was either number one or number two in most of the product areas the company focused on. And the company was busy figuring out how to be number one in when they were number two.Bob’s company was not the best in any area the company competed in. However, there was the belief that “God” had preordained the company was going to be the best just because they entered a market segment.“Why do we expect to win in this segment? We don’t have the technology or the talent to win here,” I asked.“Because we’re entering the market,” came the reply.The company failed almost every single time.Difference #4: A culture of discipline.Gifford built Maxim on a culture of rigor and discipline. Bob seemed to take another route.I’ll compare the product development and introduction process of the two companies as an example.Maxim had a rigorous product development process. There were detailed reviews at each step.A project could not go forward without approval. A product had to a have a checklist of items completed, quality had to meet a strict criteria, and all marketing collateral had to be developed and ready to go.Bob left the product approval process in the hands of his General Managers. The General Managers, whose bonuses (including mine) were tied to the number of product introductions were completed, took liberties.It was a case of the fox (no pun intendedJ) guarding the hen house. The division I took over had products that were introduced with no customer instructions on how to use the products. The product quality was suspect at best.In contrast, Gifford developed a new product machine at Maxim. New products represented a substantial amount of revenue. Bob, on the other hand, would complain and complain why new products didn’t sell.Difference #5: The Flywheel and the doom loop.I worked with Gifford for over 11 years, and I helped Maxim grow from $40M/year to over $1B/year during my time there. Gifford was unbelievably consistent on what he wanted.Gifford’s vision of building a great Analog IC company never wavered. It was the same in year 1 as it was in year 11. The focus was on constant and continuous improvement.And Maxim kept methodically improving. There was no breakthrough product or breakthrough idea or breakthrough customer that catapulted Maxim to success. But you could see the progress each year as you looked back.Bob’s vision, on the other hand, seemed to always waver. And most of the wavering was what Bob felt the “analysts” wanted the company to do.“Wireless is hot right now, so let’s focus there,” Bob would say. So the company focus would change to wireless.“Networking is hot, so we need to do more networking products,” Bob would say. Then the company focus would change to networking.It didn’t matter that Bob’s company had no strategic advantage in wireless and networking. They were just hot markets that the analysts liked, so the focus changed.Gifford’s consistent strategy allowed Maxim to consistently grow profits. Bob’s inconsistent strategy meant Bob’s was always explaining why his company missed their numbers.The Final Difference: Be generous.Gifford certainly wanted to personally make a lot of money. And he did.However, Gifford had one of the most generous compensation programs in the Silicon Valley. The wealth creation went to all levels of Maxim.Gifford’s generosity didn’t end with just wealth creation. Maxim’s healthcare plan was very generous for employees too.Maxim had a very simple sick policy: If you’re sick, stay home. If you’re healthy, go to work. There was no paperwork required if you were sick.The contrast with Bob couldn't have been more dramatic.Bob wanted to make a lot of money, but Bob was seemingly indifferent to what happened with his employees.Bob’s stock option plan was the bare minimum compare to Maxim’s generous plan. The result was employee turnover at Bob’s company was much higher.Bob’s healthcare plan was again the bare minimum. And premiums kept increasing year after year.Bob’s sick policy was much different than Gifford’s. You had to fill out a time sheet if you missed a day of work.Worse, you were required to take time off for doctor visits. So if you missed two hours to go see the doctor, you were required to log this time as sick time.Employees resented Bob’s penny pinching. Gifford built loyalty with his generosity.Great leaders know how to build a loyal following.Jack Gifford was a great leader. Bob was not a great leader.Gifford, despite a massive ego, knew how to build a successful company for the long term. Bob did not.Gifford understood that consistency, a focus on continual improvement, and generosity were the keys to building a loyal team.I learned a ton about what to be a leader working with Gifford. And I learned a ton about how not to be a leader working with Bob. I applied the lessons I learned from Gifford and Bob to my own leadership style when it became my turn to build my own company.You can do the exact same thing I did and apply these lessons to make yourself a better leader, so you can build a great company too.For more, read: What is it Really Like to be a Startup CEO? - Brett J. Fox
How can I cash a money order if I fill it out wrong?
If it is a US PS Money order there should be no problem . The issuing Post office has a record of what was paid for the Money Order. If you bought the Money Order , your receipt will have the amount you paid. If it is a matter of the wrong name or information written on the Money order. Again bring it to the Post office they will issue a new one.
How do you fill a money order?
How To Fill Out A Money Order sometimes makes the user confusing and irritating. You can easily figure out each and every step with full procedure by visiting on the link.
How do I become a data analyst?
How to become a data analyst?Data has always been important for businesses, but the importance of data analytics have been discovered only recently. However, generally some people confuse data analytics with big data or other data tools, and think that skills required for data gathering are same as the skills required for data analytics. However, in order to start a career in data analytics, the skills required are vastly different from skills required for data gathering. Before explaining what skills are necessary for starting a career in data analytics, it is important to define what data analytics is. Data analytics is the process of gathering data and then employing scientific tools and problem solving skills to analyze the data for better decision making. Generally, data analytic tools are employed by companies to save time, cost, streamlines processes and to increase revenues.In order to understand how you can start a career in data analytics it is important to know the skills you will need:Read More: How do I start learning data analytics step by step?DegreeAlthough to work as a data-analyst there is no specific degree requirement, but there is generally a high competition in data analysis industry, and preferred degrees are Engineering, Statistics or Maths.Read More: Join data analytics certification course by digital vidya to start your career in data analyticsSoft-SkillsThere is a general misconception that if you know software such as SAS, SPSS or R, you can start a data-analyst career. However, there is a lot more required to start a data analyst job, companies looking to hire data-analysts, analyze the potential employees, problem solving skills, research skills and their ability to present the analysis gained from data analytical tools in a structured way.Industry KnowledgeData-analysis requires some similar skill set, such as technical skills, soft-skills and problem solving skills. However, data-analysts could work in different fields, so the industry knowledge base requirement is different for every industry. For example, a person analyzing data for construction industry would need to know about construction industry would require extension knowledge of construction industry, and a person working in a consultancy firm would need extensive knowledge of their target market. Thus, extensive knowledge of the targeted industry is essential to start a career in data analytics.Communication and Presentation SkillsIf you are looking to start a career in data-analytics, apart from having strong analytic skills you need to have strong communication and presentation skills, so that you can present your analysis in a clearly structured way to your co-workers and your management, to improve decision making processes. For example, if you think your company’s marketing department is not doing well because of the data you have seen, then you need to present your data in a structured way that’s easy to understand for everyone else as well. Therefore, one of the skills employees look for in data analysts is strong communication & presentation skills.If I was looking to start a career in data analytics, I would first start from getting the relevant certifications and technical training, e.g. learning SPSS, etc. and then work on choosing a target industry I want to work in and equip myself with skills and knowledge relevant to that industry and then work on my problem solving, communication and presentation skills, so that when I go for an interview or work as a freelance data-analysts I have all the skills necessary for starting the data-analytics job.For any other query feel free to ask!!
How do you fill out a Moneygram money order?
Purchase a money order.Fill it out as soon as you purchase it.Enter the recipient’s name in the “Pay to the Order Of” line.Sign on the “Purchaser, Signer for Drawer” line.Write your address on the “Address" line.Separate the money order from its receipt.Source: How to Fill Out a Moneygram Money Order
Which is the best course on data analysis or data science on Coursera, Udacity or elsewhere on the Internet?
Firstly, I am not sure if you used the terms ‘data analysis• & ‘data science• strictly or are you referring to them as interchangeable. Why? There’s a difference between Data Analytics and Data Science. Data Analytics in general is a basic level of Data Science.Thanks to explosion of data across public (e.g. Social Media) and private (e.g. Customer Data) media, there’s an ever increasing demand for Data Analytics/Data Science professionals. Interestingly, Data Analytics has application across:Industries - Retail, Online Shopping, BFSI, IT etc.Functions - Consumer Research, Sentiment Analysis, Stock Market Prediction, including Matrimony :)No wonder, there’s plethora of Data Analytics/Data Science courses offered by both - Academic Institutions and Professional Training companies.Coming to your question, ‘Best• is very subjective unless you share your objective of acquiring Data Analytics/Data Science Skills. For e.g.Are you looking at your 1st Job?Are you looking to expand/accelerate your existing Career?Are you looking at forwarding a function/department of your Organization?Depending upon your objective, you will care about different aspects of a Data Analytics program. For e.g. the 1st two objectives listed above will require an industry accredited program while it’s not important for the 3rd objective.Another aspect is about the scope and depth of the program. E.g.:Are you looking at acquiring SAS, R, Python or Excel (or all of them) skills?What are the tools which are important for you: Jupyter, Tableau, GIT?For e.g., if you are from programming background, then Data Analytics using Python is highly recommended as Python is the most popular language including for future. Here’s a video, which will help you appreciate the importance of Python:On the other hand, if you’ve no background and inclination for programming, Business Analytics using Excel & PowerBI is a good option.SAS & R are loosing their importance and are still in use as large corporations (e.g. Banks) are still running on systems built on them.However, whatever is your objective or scope of the learning, the most important element of any great course in Data Analytics is the Hands-on/Practical Component.How much time are you going to spend in analyzing variety of Data Sets is going to determine the quality of learning you are going to experience, which will ultimately lead to you gaining desired skills and confidence to apply your learning to solve real life problems.Since you mentioned Coursera & Udacity, I want to share my perspective based on my personal experience on these platforms. While Coursera, edX, Udacity, Udemy have some of the best quality content, the real challenge with all of these platforms is the completion ratio. Most of these platforms have less than 10% completion ratios, which means that not more than 1/10 participant has even a chance of acquiring desired skills.On a similar note, challenge with most of the programs offered by formal educational institutions (including the best ones) is the lack of practical exposure.For the above reasons, Professional Training companies are likely to be your best bet. I invite you to consider Data Analytics Certification Course offered by Digital Vidya.You can attend an upcoming Orientation Session on Data Analytics for Career Growth to experience the opportunity of Data Analytics and our program before you make your decision!It’s free, online and led by VP of Data Analytics Trainings at Digital Vidya, who has 17+ years of industry experience in large tech companies such as IBM. The above link to our program page has the details for this orientation session.I hope the above information provides you clarity about factors to consider while making a choice about a Data Analytics course? In case I can be of any further support, please free to ask me any question in the comments section. All the best for your search!
How do I respond to a request for a restraining order? Do I need to fill out a form?
As asked of me specifically,The others are right, you will likely need a lawyer. But to answer your question, there is a response form to respond to a restraining order or order of protection. Worst case the form is available at the courthouse where your hearing is set to be heard in, typically at the appropriate clerk's window, which may vary, so ask any of the clerk's when you get there.You only have so many days to respond, and it will specify in the paperwork.You will also have to appear in court on the date your hearing is scheduled.Most courts have a department that will help you respond to forms at no cost. I figure you are asking because you can't afford an attorney which is completely understandable.The problem is that if you aren't represented and the other person is successful in getting a temporary restraining order made permanent in the hearing you will not be allowed at any of the places the petitioner goes, without risking arrest.I hope this helps.Not given as legal advice-
How do I start learning data analytics step by step?
If you are looking for a career in data analytics, I would suggest that you take up a job in one of the analytics companies - Mu Sigma, ZS associates, Fractal, Tredence, etc. These companies mostly don't need any prerequisites for entry level analyst jobs and prgreat opportunities to learn the skills from scratchIf that's not possible for you, I would suggest you take the following progression to learn data analytics in each of the key areas:MathsBasic statistics and data summarizing parameters like mean, median, mode, central tendencies, distributions, etc.Data integrity, comparison and tendency tests like t-test, z-test, f-testRegression - Linear, Logistic, GLM, Mixed in that orderAdvanced techniques like predictive modeling and prescriptive methodsTechnologyMicrosoft Excel: This is the Holy grail of analytics. Learn this in and out. From simple formulae to the data analytics tool and dashboard in, you should learn it allVBA: This is an extension of Excel and though not used very extensively, can help in making a lot of tasks in excel easierSQL: This is the logical progression from Excel for handling larger data volumes and also standardizing processes and creating code modules for repeated useSAS/R: The next step will be one of these tools as they can help you do more complex processing like regression and modelingTableau: This is almost the standard right now for data visualization and dashboardingAdvanced technologies like Shiny, Hadoop, Hive, etc.BusinessWorking of different verticals like Technology, Pharma, Healthcare, Retail, Banking, etc.Applications of analytics in each of these verticalsHope this helps.Edit 1: Adding some free useful links that you can use to study the above mentioned things:Some useful and free resources:Free Statistics BookYour Home for Data Science - KaggleSQL Tutorial - W3SchoolsSQLZOO - SQL PracticeSAS Customer Support Knowledge Base and Community - Best place to learn about a lot of the featuresTableau Training & Tutorials - Free Tableau training videosLearn Excel, Charting Online - ChandooHome - Analytics Vidhya - Stay up to date
What do I need to learn to become a financial analyst?
In most Fortune 500 companies the Financial Analyst position is just above College-hire entry level. But because of the high average pay-grade and great exposure to management, these are very sought after positions.If you've just graduated college, you generally start off in an entry level Finance or Accounting position of some sort and then get promoted to Financial Analyst within a year or so. As far as qualifications go, you need an Accounting, Finance or Economics degree to be considered for this position. If you have an unrelated major (like Sales or Marketing), you'll probably need an MBA.Interview questions generally range from technical to behavioral. You'll need to know your debits and your credits, but these questions are mainly to see how you think. Behavioral questions usually start with "Tell me about a time when..."Companies are looking for folks who can communicate effectively at all levels (to their peers, managers, and management). Learning how to communicate in writing in invaluable, but learning when to pick up the phone is even more important. Computer programming is becoming more and more valuable in the Finance and Accounting field. Many of the financial tools use Macros and coding in VBA comes in handy.On top of the standard items on your resume (education, experiences etc) the hiring manager will probably be scanning your resume for the following:Ability to analyse Financial StatementsUnderstanding of Corporate FinanceAdvanced Computing Skills (SAP experience is highly valued) Internships or other relevant work experienceExtra Curricular Activities. Here are some job titles that I've held, feed free to ask any further questions in the comments. Budget Co-coordinator (Entry Level)Financial Accountant (Entry Level)Financial AnalystSenior Financial AnalystAssistant Finance ManagerFinance ManagerIf you need professional help landing a Finance career, check out www.yougogetter.com I've worked with this company to prone-on-one consulting with individuals, helping them land the positions they are looking for.
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