Category: Analytics Training

One Step Ahead In The Talent War Across Call Centers In Manila

https://www.recruiter.com/i/5-tips-on-cultivating-your-talent-pipeline/

Came across this interesting article on LinkedIn. I’m always curious about that people are saying about how to have success with recruiting, because its perhaps the top challenges in my industry.

Recruiting good call center agents in Manila has got to be one of the hardest requirements to fill anywhere on the globe right now. Awhile back I came up with a formula for what makes up a good call center agent, and not the just the surface skills, but he core competencies. Here is what I see:

  • Conversational English (20%) – Conversations follow rules of etiquette because conversations are social interactions, and therefore depend on social convention.
  • Customer Service (20%) – Customer service is a series of activities designed to enhance the level of customer satisfaction – that is, the feeling that a product or service has met the customer expectation.
  • Technical Training (20%) – Instruction to help agents use the systems and personal computers on which they are dependent to get their daily work done.
  • Product Knowledge (20%) – An understanding of a good or service that might include having acquired information about its application, function, features, use and support requirements.
  • Work Ethics (20%) – A strong work ethic is vital to a company achieving its goals. An example of someone with work ethic is a person who gets to work on time every day and always works long days to get the job done.

Of these, the hardest to teach is the fifth one, work ethic. So to me 5 ways to look for strong work ethic in a candidate are similar to the ones listed in the LinkedIn article. They are:

  1. Recruiting at events is more the just showing our brand, but our story out there. It’s a crowded field and we are just one, small voice. But it’s a enchanting story that get people excited about working with us.
  2. We too lean on Referrals for a high % of our new hires. There is nothing better than an endorsement for the job from someone doing the job.
  3. Internships/OJT/Trainees let us see how they work and letting them see what its like to work with my team. Great way to make sure it’s a good fit from both ends.
  4. Looking locally at schools and outside the industry places like retail and service jobs to attract new talent to the industry. The industry is full of job hoppers and money chasers, so going for them is not a good option.
  5. Staying in touch by sending newsletters, inviting to trainings, text blasts is important to us. Staying top of mind and keep telling our story.

So there you, go that’s how we are helping companies stay ahead of the game when it comes to the talent war going on in the call center industry in the Philippines right now.

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I am currently working on a book dedicated to helping HR & Recruitment professionals in the Philippines. The book should be ready by early 2017. In the meantime, you can check out my latest work, Putting Your Data to Work, for an overview of how to get started with analytics in your business. Connect with me and I will show you how to get a copy of my fast selling analytics guidebook.

HR & Recruitment Analytics – The recruitment and retention of top talent is the biggest challenge facing just about every organization. DMAIPH is a leading expert in empowering HR & Recruitment teams with analytics techniques to optimize their talent acquisition and management processes. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to learn how to get more analytics in your HR & Recruitment process so you can rise to the top in the ever quickening demand for top talent.

Fundamentals of Business Analytics > Coming June 2015 > To A Business Analytics Course Near You

SNEAK PEAK…

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2.0The book Fundamentals of Business Analytics will be the first of a it’s kind; a textbook for Business Analytics students specifically designed for the Higher Education Institutions in the Philippines. The textbook closely follows the 2013 CHED Memorandum calling on all HIEs in the Philippines to add a Business Analytics tract to their curriculum. If you are interested in helping preview the book before it goes into general production, please send an e-mail to analytics@dmaiph.com expressing your interest.

Chapter 1 – The Concept of Analytics

Chapter 2 – Who Are Analysts

Chapter 3 – Current State of Analytics in the Philippines

Chapter 4 – Why We Need More Analysts

Chapter 5 – Basic Analysis – It’s Fun and its Easy

Chapter 6 – Finding the Right Data

Chapter 7 – Big Data & Data Warehousing

Chapter 8 – Let Your Data Do the Talking

Chapter 9 – Business Intelligence & Data Visualization

Chapter 10 – Descriptive Analytics: How We Got Here

Chapter 11 – Predictive Analytics: Where We Are Going

Chapter 12 – Prescriptive Analytics: Charting Our Path

#GrowMoreDMAI

Teaching Analytics Concepts… Never Stops Being Fun For Me

So I am helping a high school student I know learn what exactly analytics is and why it is important to know about.

First thing I had her do is go to Wikipedia to look up the term and give put the meaning of analytics in her own words. She came back with…

“Analytics is the discovery and communication of meaningful patterns in data. I had researched that on Wikipedia and for me I think about analytics is about research or operating research and also about programing. This kind of word analytics can be a use in business to search for data. I’m not sure but also this is the kind of training need to be a good employee for a company.”

The next step, I told her to find a video on YouTube to watch. Anything that was short and helpful for her. Nothing too complicated or nosebleed inducing.

The awesome thing is, she typed in analytics in YouTube and one of my videos came back in the search results. Haha!!!

It’s kinda fun to be semi-famous. Here is the video: https://youtu.be/A0rFj0WVqDQ

So asked my trainee to give mer her reaction to the video. She said, “Yes you’re right analytics can help a business and its leaders.  Also you’re talking about the Philippines BPO’s of course. I see it the call centers all the time. And also you’re talking about video is training for a work force, this is for analytics jobs. This is just like what we do now… learning just what is analytics.”

The last thing I had her do for her initial orientation to analytics is look up some data on her favorite restaurant. She chose McDo… https://www.mcdonalds.com.ph/

The idea is to look up some data. Pretend we are an analyst looking to compare market share of fast food restaurants in the Philippines. For that we’d need to know the number of stores McDo has. So my young apprentice found that data… over 400. Now she can compare that to the number of stores of competitors like Jollibee and Burger King. That’s analytics in action.

Not had for a 16 year old. 🙂

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IBM’s Six Ways To Use Analytics To Manage A Workforce

http://www.forbes.com/sites/ibm/2015/04/06/6-ways-to-use-analytics-to-better-manage-a-workforce/

Interesting article about how to use more analytics in areas that are traditionally data rich, but not a focus of most enterprise analytics solutions.

Right now in the BPO industry in the Philippines, two of the bullet points really got me thinking.

Using analytics in HR to predict if and when employees might leave is a pretty cool concept. Their is plenty of historical data to look at resignation and termination patterns and segment the data in various buckets to see if any meaningful patterns jump out.

This goes hand in hand with higher employee expectations for work life balance and having a strong sense of community within the work place.

Both are things that might require a lot of unstructured analytics as well… although it blurs employee privacy issues, Facebook and Twitter can be an excellent place to glean insights into employee mood and their intentions.

I am curious to see how deep analytics can go into looking at data and trying to predict employee loyalty and stickiness.

The recruitment and retention of top talent is the biggest challenge facing just about every organization. DMAIPH is a leading expert in empowering HR & Recruitment teams with analytics techniques to optimize their talent acquisition and management processes.

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DMAIPH also specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization. Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture. We have guided thousands of Filipino professionals to become better analytics leaders. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership.

What Does A Business Analyst Actually Do?

For the sake of the CHED course on business analytics, lets look a little more closely at business analysts.

The International Institute of Business Analysis (IIBA) describes the role as “a liaison among stakeholders in order to understand the structure, policies, and operations of an organization, and to recommend solutions that enable the organization to achieve its goals.”

With that in mind, the next question often asked is, “What does a business analyst do?”

This is a reasonable question, because the fact is a business analyst is not limited to doing one thing. He or she wears multiple hats. He or she will be skilled in communication, negotiation, listening, and will also need to be a good team leader. They have to be good at solving problems. This means he or she will have the skills necessary to look at data and other relevant information in order to determine where the losses are within a company. They also have to understand the technology used to capture, store and analyze the data used in their company. It takes a lot to be a good business analyst.

This is where things like deep thinking and curiosity really separate good analysts from great analysts. Of the many  essential skills a business analyst will utilize here are my top 3:

(1) – Know the data. They will compare the past facts and figures to the current numbers, this will give the analyst the information to deduce or predict failure within the company.

(2) – Know the business – A business analyst is always an objective listener. They will determine the needs that management want by speaking to shareholders. This requires the analyst to ask questions, to find out what is needed, which will more than likely lead to new discoveries that may have been overlooked previously.

(3) – Know the players – Within a business there are usually different departments. A Business analyst will seek to associate and involve them-self with the various departments. This will help them identify conflicts within the various departments, which can be used to bring departments together.

As you can see it takes a lot to be a business analyst. BAs are truly a rare breed of technology loving people, who can solve problems and work well with others.

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What Kind Of Analyst Do You Want To Be?

“The main part of intellectual education is not the acquisition of facts but learning how to make facts live.” – Oliver Wendell Holmes

An ANALYST is a person who analyzes and is skilled in analysis. Business Analysts (BA) are required to find, analyze and report business data to support business optimization.

The job functions of an analyst very greatly from business to business and even within each business job functions can vary from analyst to analyst. However at their core, you will find that just about anyone with analyst in the title has several things in common.

Based on the book, the Accidental Analyst, four character traits that most analysts have are:

  • PASSION for helping people solve real problems
  • KNOWLEDGE of the business being analyzed
  • EXPOSURE to thinking analytically and problem solving tools
  • EXPERIENCE using data to solve problems

In addition most analysts have certain personality types:

  • reflective
  • intuitive
  • deep-thinkers
  • and able to make quick judgments

These findings show a consistency across analysts no matter if their focus in on reporting, analysis and/or research, if they are working with small structured data sets or volumes of unstructured big data or if they are actively working to optimize the business or just providing information.

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Per CHED some of the analytics jobs graduates of the program should be ready for:

  • Jr. Business Analyst
  • Operations Assistant
  • (Web) Site Analyst
  • Marketing Officer
  • Jr. Operations Analyst
  • Financial Analyst
  • Supply Chain Analyst
  • Human Resources Associate
  • Training Associate
  • Administrative Associate
  • Accounting Analyst
  • Quality Assurance Analyst
  • Facilities Associate
  • Planning/Budget Analyst
  • Insurance Analyst
  • Social Media Analyst
  • Virtual Assistant
  • Customer Service Rep
  • Finance Analyst
  • Accounts Payable Analyst
  • Travel Analyst
  • Expense Analyst
  • General Accounting Analyst

This list is hardly exhaustive. On a typical day on jobstreet.com you will see hundreds of job titles that includes analyst in the title.

So I guess the next question to ask is, “What kind of analytics and analyst jobs interest you the most? ”

The Fundamental of Business Analytics – Business Analytics is the application of talent, technology and technique on business data for the purpose of extracting insights and discovering opportunities. DMAIPH specializes in empowering organizations, schools, and businesses with a mastery of the fundamentals of business analytics. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out how you can strengthen your business analytics fundamentals.

Five Tips To Make A Great Dashboard > DMAI Analysts Master These Skills

A business dashboard allows decision-makers to better manage their business, and thus improve sales and profits. Here are five tips to make a successful business dashboard:

1) Personalize. Tailor your dashboard to the role of the user, designing it around metrics specific to the individual. Accommodate your users no matter where they are located.

2) Self-sufficient. Dashboards should guide business users to relevant insight without help from IT. Dashboards should be intuitive and provide simple access to business data using menu filters and drill-down functions. Also, users should have access to FAQs, help ­files, how-to videos, and an online user community so they can feel con­fident when using their dashboard.

3) Interactive. Dashboards are not a static experience. Users should be able to apply filters and adjust values on a chart, for example, to plan for various scenarios. They should also be able to write-back to the data source if permitted. Drill-down capabilities are particularly useful because users can delve into charts to get further details with just one click. Interactive dashboards keep users engaged and focused.

4) Dynamic. Static dashboards rely on historical data, neglect your organization’s present performance and set you up for failure, warns Forrester Research. Successful dashboards are dynamic and reflect the real-time changes of your business’ performance. They also offer ad-hoc capability so users can manipulate variables for further analysis and drill-down functionality so users can find root causes.

5) Accessible. Dashboards should be accessible from any device so users can view their data anywhere, anytime. Mobile dashboards are easy to deploy if your BI system supports web apps, which can be developed once and deployed anywhere – on any PC, smartphone, or tablets.

The bottom line is that dashboards should be analytical tools, not just pretty pictures. The ultimate measure of dashboard success is adoption. When users come to see their dashboards as indispensable, you know you’ve done well as a dashboard designer.

DMAI specializes in designing business dashboards, training staff to use them effectively and in providing staff who can build, manage and enhance business dashboards

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The Not So Elusive Unstructured Data – Part 2

Historically people have been talking about data within the firewall, document management or collaboration information that is not structured, such as video, photos, documents and diagrams.

However now that we are at a tipping point: There is as much value in unstructured data in terms of what customers are thinking on the web and what businesses can derive from other organizations’ data

Good Analysts know how to identify, inventory and integrate unstructured data right along side the structure business data they have always had.

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Recently, BI and warehousing suppliers have been adding support for unstructured data management to their tool sets.

Many IT organizations have built their own platforms for converting unstructured data into structured records, for example, through knowledge management systems.

And new businesses are popping up to offer unstructured data collection, storage and analysis options that are integrated into the enterprise analytics solution.

Companies who get unstructured data will have a huge competitive advantage. DMAI can give you the training, consulting and analytics talent you need to stay ahead of the pack. #GrowMoreDMAI

Finding The Right Data To Help A Business Is The Key To Being A Great Analyst

Knowing where to go to find the data you need is one of the most important keys to being a successful analyst.

There are three basic areas where you can go to find data:

  1. Private Company Databases and sources
  2. Public Databases and sources
  3. The Internet

Each company treats its data a little different, but you can expect them to store their data in data bases that fall into the following couple of categories:

  1. Proprietary Databases. All of the data used for analysis is kept in databases that are built and maintained by an internal IT team. They may use heavily personalized commercial software.
  2. Off the Shelf Databases. Most data is housed in a commercial database solution like Oracle, Teradata, MS Access, etc. where IT team often work in partnership with the database manufacturer.
  3. External Databases. The company does not have its own IT team and receives its data from external resources. Usually analysis is conducted via a connection to the data through the vendor.

In addition to using internal data sources, you may also find yourself surfing the web to find data for your analysis.

A lot of time it takes a combination of internal business data and things from the web to give you an overall picture.

In my experience there are three places I generally go to in search of publicly available data on the internet. I generally find what I need from either:

  1. As a general starting point for just about anything you can begin with a Wikipedia search.
  2. Google Search. To pull together press releases, news articles, images, and other pieces of data that are not statistically driven, Google is your best bet.
  3. Government Databases. The are billions upon billions of datasets out there on just about every kind of public data in terms of demographics, government spending, monetary flows and many, many other type of data.

So when you look to provide a well-rounded and detailed analysis of any business problem, the first step is always knowing where to go to get your data.

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Analytics Tip > Keep Your Data Clean

http://bicorner.com/2015/03/22/5-nuggets-from-the-big-data-driven-business/

Came across this interesting post on LinkedIn…

Database quality now has an unprecedented impact on the success of Big Data initiatives. To ensure that these databases are as productive as possible, Marketers must maintain good data hygiene.

Five steps for cleaner data:

1) Make sure your data entry team is keying in data accurately in the first place.  Make the data entry team a priority.

2) Incentivize your sales team, call-center squad and other customer facing employees to regularly request updated contact information and other data from the customers they encounter.

3) Use available software, such as Trillium, to streamline the process of cleansing, correcting and updating email and postal addresses.

4) Allow customers access to their records so they can help keep them accurate.  Consider offering discounts as an incentive for customers to participate.

5) Regularly contact customers, either via phone or email, to update records.  This approach is critical with the most important accounts.

Having clean data is very, very important.

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I have my admin team refresh my connection data on LinkedIn on a regular basis so our mailings lists stay up to date.

We also have audits of our client pipeline to make sure all relevant applicant data is captured for analysis.

Make sure you put some thought into how to keep your data clean!

Analytics is the application of using data and analysis to discover patterns in data. DMAIPH specializes in empowering and enabling leaders, managers, professionals and students with a mastery of analytics fundamentals.

DMAIPH is also a founding member of the Analytics Council of the Philippines and specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization. Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture. We have guided thousands of Filipino professionals to become better analytics leaders. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership.