HR Recruitment Analytic Techniques

Every recruiting organization is looking for a way to better understand what’s working and what’s not working in their recruiting strategy. By using meaningful HR Recruitment Analytics techniques, your recruitment efforts can be greatly enhanced.

With real-time recruitment metrics & reporting, we can finally know what’s happening in our pipelines and what channels provide us with most qualified candidates.

New technologies like social networks, applicant tracking systems and business intelligence applications are fundamentally changing the entire recruitment process from sourcing to placement.

The pressure to deliver results has never been greater. HR and Recruitment managers are now more than ever required to demonstrate the return on investment their efforts are contributing to the bottom line.

Building analytics centric teams and using techniques taught in this training session will empower more data-driven decision making. This will result in both process efficiency and better return in investment in the recruitment process.

A few months ago, I facilitated a training class on HR Recruitment Analytic Techniques.

The Learning Session Objectives from the training were:

1. To learn analytics techniques that will allow quicker, deeper and more impactful analysis of HR Recruitment Big Data.
2. To be exposed to cutting edge technology being used in other companies to build HR Recruitment business dashboards and design more powerful reports.
3. To assess the current state of analytics in your HR Recruitment process and build a strategy to empower the greater use of analytics in your organization.

The Key Benefits from Attending this Learning Session were:

1.Develop analytic techniques that you can use to improve decision-making and improve the bottom line.
2. Explore analytics tools like business dashboards and data visualization to improve reporting.
3. Build a strategy to move your organization from current state to ideal state when it comes to the use of analytics.

Topics covered in the training included:

  • What is Recruitment Analytics?
  • Self-Assessment of your Recruitment Analytics
  • Analytic Techniques for Finding the Right Data at the Right Time
  • Applicant Tracking Systems & Social Media
  • Big Data and Recruiting Analytic Strategies
  • Business Intelligence, Data Visualization & Business Dashboards Technologies
  • Building Meaningful HR Recruitment Techniques

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Overall it was a great training class with lots of great discussion. Given that the recruitment and retention of top talent is the biggest challenge facing just about every organization. more conversations are needed.

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.

 

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Analytic Techniques to Make Data Driven HR Decisions

On June 22, 2016, in Ortigas, I will be partnering with my good friends at Ariva Events Management to facilitate a workshop on HR Recruitment Analytics.

We are expecting about 100 participants to come and learn more about how to use analytics to empower more data-driven decision-making in their organizations.

Analytics is now commonly being used across all industries, but being able to use the right analytic techniques to harness the power of big data is not so common.

Topics covered in the training include:

  • What is Recruitment Analytics?
  • Self-Assessment of your Recruitment Analytics
  • Analytic Techniques for Finding the Right Data at the Right Time
  • Applicant Tracking Systems & Social Media
  • Big Data and Recruiting Analytic Strategies
  • Business Intelligence, Data Visualization & Business   Dashboards Technologies
  • Building Meaningful HR Recruitment Techniques

New technologies like social networks, applicant tracking systems and business intelligence applications are fundamentally changing the entire recruitment process from sourcing to placement.

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A standard definition of HR Recruitment analytics is simply the metrics and analysis that relates to recruiting in a business.

However, we all know its actually a lot more challenging in practice.

The pressure to deliver results has never been greater.

HR and Recruitment managers are now more than ever required to demonstrate the return on investment their efforts are contributing to the bottom line.

So as the day progresses we will use hands of exercises based on real business cases to come up with solutions to the data challenges around us.

We will also look at several of the biggest trends in HR Recruitment Analytics. Sixmonths into 2016, there are the ones I have identified as the most common:

  1. Millennial Job-Hoppers
  2. Fresh Grad Skills Mismatch
  3. Selling Compelling Brands
  4. Focus Shift on Retention
  5. Social Media is not the magic solution
  6. Go Mobile or Go Dinosaur
  7. Big Data will make life better
  8. Analytics solutions that actually work

Don’t fall behind the competition. Recruiting for top talent in the Philippines is one of the hardest jobs on the planet right now. If your team is not armed with the best analytic techniques it will only get harder to stay a head in the game.

Let me know if you are interested in attending and I will connect you with my business partners at Ariva.

 

Finding The Time To Talk About Analytics Strategies

One of the biggest frustrations I hear from people when we are talking about how empower more data-driven decision-making in an organization is that no one has enough free time to get serious about analytics.

When facing this kind of challenge, a short presentation full of useful data can be used to start the ball rolling. When people say they are too busy then they are often actually saying I have too many things to keep track of and I am not as organized as I should/could be.

There are indeed times when there is more work than can be done in 40 hours a week, but that is actually not the case in most situations. Most corporate cultures reward those with the “I’m so busy I don’t have time to waste on reports” badge of honor.

To counter this you need to do some research into what are the potential time and cost savings that come from fixing the reports and getting better data to decision-makers. It wont take long to find a lot of numbers to use in your business case after a quick Google search. LinkedIn is also a good place to find lots of supporting documentation.

Once you have that info, you can add it to your own assumptions about what KPIs are not being used or what KPIs are missing from current reporting or which KPIs are miss reporting. This can all be turned into a short, compelling case for others taking the time to talk about broader reporting across the organization.

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To really add some punch to your argument, ask one of the too busy people to give  you a few minutes of time to ask them what more they want/need out of their reports. Hardly anyone is truly happy with the reports they get. Gain a few allies in your crusade.

Most people think that using analytics effectively is all about the technology, but the real secret to success is getting the people on board and on the same page. True analytics centric cultures are based on engagement and that engagement needs a facilitator.

Once you have your story and a few key advocates it will be a lot easier to get closer to the data-driven decision-making you are looking for.  If you need help polishing your story or advice on how to get the engagement of a really tough “I’m too busy” co-worker, let me know. I’m sure I can lend a hand.

Analytics Culture – The key to using analytics in a business is like a secret sauce. It is a unique combination of analytics talent, technology and technique that are brought together to enrich and empower an organization. A successful analytics culture is not easy to create, but DMAIPH can show you how. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can build a strategic plan to turn your company into analytics driven success story.

Turning Data Owners Into Data Resources

One of the biggest challenges I hear about when I do public trainings is how to get people who are stingy with their data to share it.

My answer is always the same… buy them a doughnut.

Seriously, when I reflect back to what made me a great analyst when I was with Wells Fargo, one of the biggest reason was I made sure all the data guys liked me.

Just about every company has someone who likes to keep their data close. Sometimes it is a result of security risks. But most of the time it is because they just don’t like to share. It is also possible they just don’t like someone on your team. Whatever the reason, you have to get them to lower the gate and let you in to play with their data.

From my perspective, I generally see a few types of data gate keepers who have very different reasons to keeping you out of their data playground.

  1. They are afraid to share the data, because they know the data is not 100% trustworthy.
  2. They are afraid to share the data, because they worry you will use the data to do things they can’t.
  3. They are afraid to share the data, because they had a bad experience with you or someone like you.
  4. They are afraid to share the data, because you play for a different team.
  5. They are afraid to share the data, because you won’t need them anymore.
  6. They can’t share the data because it’s a security risk.

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In every case, even the last, engagement is the key. Share with them why you need the data, demonstrate how much more awesome your analysis and reporting will be if you can include their data.

One of the advantages I have enjoyed in my career is that I really get along with people. I make an effort to be likeable and trustworthy. To be a great analyst, you will need to be likeable and trustworthy too.

And I kid you not, buying them a doughnut and dropping it off at their cube works more often than you might imagine.

The key to using analytics in a business is like a secret sauce. It is a unique combination of analytics talent, technology and technique that are brought together to enrich and empower an organization. A successful analytics culture is not easy to create, but DMAIPH can show you how. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can build a strategic plan to turn your company into analytics driven success story.

When Your KPIs Aren’t Really KPIs

One question I get asked a lot is what should someone do when they know the data they are reporting and/or using in their analysis is not the best data to available?

No matter what part of the business you work in, the first thing to do is to define the current Key Performance Indicators (KPIs) being used in decision-making.  Often right off the bat, some of the KPIs being reported aren’t even being used.

You can do a simple survey, asking end users to rank in order of importance the KPIs they get. Also ask if the ones at the bottom are even useful or should they be eliminated if no one is using them.

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At the same time you should be working on understanding what computations go into each KPI. Often we just do simple counts, total and averages that mask more important data. On the flip side, we tend to over complicate things with extravagant weighing and scoring. Either way, we need to make sure we know exactly what is being reported and how does the final data point come to its end state.

The next step is to look at the data architecture to make sure there is nothing happening upstream that might impact the data we are using in the KPIs. Before making changes to the KPIs we want to have the full view of what happens before the data gets to the end user.

Now we are at the point where we can start experimenting. What happens when we swap out data points? Or if we change a variable in a calculation? Or we pull the data from a different source? The questions are endless. Pick a few, make some changes in a test environment and start sharing the updated KPI data. See if it has more value with the end users.

Again, this shouldn’t be hard. But of course in many organizations a lot of consequences can result from a simple change to just one KPI. Spreadsheets may have to be reformatted, review processes may have to be updated, dashboards may have to be redesigned. But in the end, what is more important… making decisions with crappy data or setting a standard to let the reporting process evolve as the business evolves?

This come back to my point earlier, changing KPIs is as much sales as it is analysis… that you have to be ready to share a story, back it up with data, and really influence the minds of senior management that updating the KPIs makes good business sense.

If you are at a point where you are trying to figure out what KPIs aren’t working anymore or you need help is building a business case to change some KPIs, let me know. I’m here to help.

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General Analytics – 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. To this end we have parterned with Ariva Events Management/Ariva Academy to offer a wide range of analytics themed trainings across the Philippines. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out what we can do to help you acquire the analytics mastery you and your organization need to be successful in today’s data-driven global marketplace.

Sharing My Analytics Story

Sometimes I get asked to share my analytics story. It’s pretty awesome when that happens.

I’ve have gotten so accustomed to talking about my analytics story that I do speaking engagements, public training seminars and write this blog. Talking about analytics and sharing how I have and do use data to facilitate data-driven decision-making is my favorite thing to do.

A lot of people would like to share their analytics story, but they never feel like they are in the right place to do so.

Some are not confident enough in what they are doing and afraid of looking like they don’t know what they are doing. Well, when it comes to analytics most of us don’t always know what they are doing… the whole point of analytics is discovery and looking outside the box.

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Other people chose not to share their analytics stories because they don’t have a complete understanding of analytics in general. They know their niche, whatever they are in charge of back at the office. But they are not part of the bigger data picture in their company.

I have also find that others don’t share their analytics stories because they think what they are doing is to simple or not relevant to a broader conversation. Well, hardly anyone does the same thing as someone else when it comes to working with data. How we use data in our jobs is a individual as how we dress in the morning.

SO, when I speak, or present or write, I do my best to get others to participate. I love to learn about what challenges people are having and help them come up with solutions. A lot of analytics trainings are follow this method or use this technology, but few actually solve any problems. They give you tools but no instructions on how to use them in context of your own data environment.

I have found that the best way to build better reports is to talk about them. The quickest way to build engagement for more analytics is to talk about how to use analytics.

It’s all about taking the data in your head and constructing engaging conversations. That’s why in every opportunity I have to talk about analytics, I finish talking about how to market your analysis and how to make it enchanting to your audience.

I’ll be doing a training in Ortigas this coming June 15 and a seminar on June 22. If you are interested in sharing your story and coming up with some solutions to your data challenges, I’d be happy to see you there.

Who Is Best In Your Organization When It Comes To Analytics?

I am currently sharing a survey asking my LinkedIn connections about what part of their business is the most successful when it comes to using analytics to drive decision-making.

If by chance you follow my blog, but don’t get my LinkedIn e-mails. Here is the survey:

As you may know, I have been working on a book about analytics and the data-driven cultures of companies who successfully use analytics. I have a quick question to ask you that will help me in my research.

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Of the following business lines, which one is the business line in your organization that in your opinion best uses analytics when making key business decisions?  (Pick One)

  1. Sales & Business Development
  2. Marketing
  3. Operations
  4. Supply Chain/Inventory
  5. Legal, Risk & Compliance
  6. Customer Service
  7. Human Resources/Recruitment
  8. Strategic Planning
  9. No one really uses analytics in decision-making effectively.

Thanks for taking the time to reply, it will be really helpful.

Sincerely,

Daniel Meyer, Analytics Guru

danmeyer@dmaiph.com

 

I’d like to validate what my experience tells me are the areas who generally best do analytics. I’m also looking forward to finding out there people see as general weak spots.

I’ll be happy to share the overall results of the survey once it is complete.

Conversation About the Reporting Mess

The other day I was hanging out with some friends who work for a company I used to work for and they were talking about challenges they were having with some reports. As I listened, images started filling my mind of the challenges so many companies face. Not having a good data strategy within a business is a killer to both productivity and morale, opens up a company to extra risk and blinds people to opportunities.

The first problem I suggested they tackle is validating their current Key Performance Indicators (KPIs). They need to analyze what is currently being reported to find out what is not useful to the business in making educated decisions.

The second problem is that the people who “own” the data don’t like sharing.  The place where I’d start with this challenges is mapping out the data flow. It would be really powerful to illustrate the different touch points within the flow and most importantly where things get stuck. Then it’s a matter of explaining the big picture to those who might be causing slowdowns.

The third problem is that everyone is too busy to sit down and figure out how to fix things. To solve this challenge, we will need to get everyone on the same page and agree to a common data strategy. This will not be a one and done meeting, but a series of conversations.

So to solve this, my friends need to start with asking questions about what do people really need. In many cases I would expect the answer is no. This is where knowing the architecture comes in handy, so you know where the data lives that is currently missing. After this it’s a matter of storytelling and influencing the “owners” of the data to understand how access to key data would generate more powerful KPIs which would allow everyone to get on the same page.

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It sounds pretty easy and it should be. The ultimate challenge is really getting people to all agree on how to use the data. In some cases, it might take senior management support to get everyone to play nice. And my friends will need data to support their argument on how thing can be better and put some numbers behind their vision of a stronger data-driven culture.

This is where I come in. When inside politics and no one has time to lead the charge, an outside consultant might be the best solution. An expert in not just identifying the challenges and sharing findings, but someone who can actually help facilitate cultural change. People who are equally skilled in both the technical world of analytics and the social world of team building are pretty rare birds.

If you are in a situation like my friends, then I’m ready to help you like I helped them.

Analytics Consulting – DMAIPH specializes in a variety of analytics consulting solutions designed to empower analysts, managers and leaders with the tools needed for more data-driven decision-making. We have helped dozens of companies get more analytics in their business. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can tailor an analytics solution made just for your unique requirements.

Data Analytics Training on Nov 22

Just sharing some details on an upcoming training I’ll be delivering.

This innovative and one of a kind workshop will provide you with easy to
implement strategies to increase your effectiveness in decision- making.

Objectives
– We will start with a basic overview of analytics, current trends in
the field and how analytics is being used here in the Philippines.
– Through a couple of hands on exercises, we will practice finding data,
analyzing it and reporting our findings.
– We will go in depth understand several key components of analytics
including business intelligence, competitive landscaping, data
visualization and business dashboards.
– We conclude the day by taking an assessment of each of our own
business and starting to develop strategies to enhance the analytics
culture in our business.
– Learn more about Big Data and Data Warehousing

Key Topics:
– What is Data Analytics?
– Overview of Data Analytcs in the Philippines
– Self- Assessment of your own analytics
– Finding Data (Mining and Presenting the Data)
– Big Data and Data Warehousing
– Discussion about Descriptive, Predictive and Prescriptive Analytics
– Business Intelligence and Business Dashboards
– Using Data Analytics to Drive Decisions
– Enchant your audience

Group Exercises will focus on mining data from public data sources, working on a marketing strategy based on business analytics and building a business dashboard prototype.

In today’s global marketplace, businesses are challenged with endless streams of data of immense volume, variety and velocity coming from around the world. Having people on your team who can use the data in your business to drive more data based decisions in no longer an added value. It is a fundamental cornerstone of success.

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SEMINAR FEE

PHP 6,000/regular participant inclusive of VAT, training materials
(workbook), am/pm snacks, lunch and certificate of completion

*Group DISCOUNT (Minimum of 5):*

PHP 4,800/ participant inclusive of VAT, training materials (workbook),
am/pm snacks, lunch and certificate of completion.

To register, please call 09177992827 or send an email to info@sonicanalytics.com

Analytics Training – DMAIPH and our partners at Sonic Analytics offer a wide range of analytics centric training solutions for professionals and students via public, in-house, on-site, and academic settings. We tailor each training event to meet the unique needs of the audience. If you need empowerment and skills enhancement to optimize the use of analytics in your organization, we are here to help. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation on which of our DMAIPH analytics training solutions is best for you.

DMAIPH Fuels New Businesses Ready For Launch (3 of 3)

The third type of company we can add value too is one ready to launch. You have a great idea, you have the funding, you have an awesome product or service, but you aren’t 100% sure if you have everything you need to get out there and make money. . We can offer our business intelligence package of demographic profiling, competitive landscaping, social media strategy and market assessment. We can also offer virtual staffing support to assist with marketing and operations. Our hybrid staffing solutions will give you access to a very talented work force that is flexible and affordable.

We have shown marked achievement in helping a couple of new businesses get out of the gate successfully.  One client we helped was a mobile app designer who had a great idea, enough capital tyo get started, but little idea on how to really understand the opportunity to make money. In addition, the client was hesitant to take on all the HR work in hiring a team when he had no idea how many people he would need in the short term. We helped them with both.

Using the same methodology, we used with the chiropractor, we conducted a business intelligence assessment to help figure out how to identify customers and where to find them. We also used our home based, hybrid staffing model to hire six people to help the client have get off the ground. Charged with editing pictures for the mobile app site based on set criteria, 24/7, with as close to real time response as possible, the team quickly became a key part of the business strategy.

Another new business we helped get off the ground was someone who wanted to open a call center business in Manila. She was well funded and motivated, but didn’t really know where to start. The client really needed help knowing how to settle on a location and to set up the business. She also need help designing her marketing and social media strategy. So that is where we started.

We developed a social media strategy for the business for both client marketing and employee recruitment. You would be surprised by the number of businesses who still have not figured out an online branding strategy to sell their business.

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In parallel with the social media, we also conducted a business intelligence assessment to help her pin down the location for her to set up the business. Worried about being in a place that was both convenient and not overly saturated by competitor, our data and analysis pointed her to the right place. She has been there for 4 years now, expanded her site twice to accommodate growth, and added several new customers all while having little challenge in recruitment.

If you are thinking of starting a new business, we can help. Let us show you how to use the data around you to make good strategic decisions.

Analytics Consulting – DMAIPH specializes in a variety of analytics consulting solutions designed to empower analysts, managers and leaders with the tools needed for more data-driven decision-making. We have helped dozens of companies get more analytics in their business. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can tailor an analytics solution made just for your unique requirements.