DMAIPH HR Analytics Strategy Lead

HR Analytics Strategy Lead

DMAIPH is an international analytics firm with offices in both the U.S. and the Philippines that specializes in providing analytics themed training, consulting and outsourcing to its clients.

DMAIPH also conducts analytics training classes facilitated by our President & Founder, Daniel Meyer. Mr. Meyer is an author, public speaker and one of the most sought after analytics experts in the Philippines. Over the past 5 years, Mr. Meyer has trained 1,000s of Filipinos on a variety of analytics topics. We are currently building out a marketing and analytics team to grow the training business line.

We currently employee over 60 employees here in the Philippines who are assigned to providing customer service, email support and graphic design work for a U.S. based client. This account is a mature account, having been established in 2013. This specific role will work directly with the marketing and analytics teams of DMAIPH and support the broader HR efforts for the other DMAIPH lines of business.

The role of the HR Analytics Strategy Lead has four primary functions;

25% HR Generalist (Comp/Ben, Contracts, Recruitment, etc)
25% HR Analytics Technical Trainer
25% HR Analytics Projects
25% HR Analytics Resource Speaker

Job Requirements:

At least 3 years of of HR work experience.
Experience in the BPO industry is a plus.
Four-year degree holder in an HR, related course preferred, but any undergraduate experience is acceptable.
Intermediate MS Excel skills.
A strong interest in analytics; using data to driven decision-making.
Experience with corporate training, public speaking and/or classroom teaching strongly preferred.
An Above average level of English proficiency.
A pleasant attitude and professional appearance.
A curious mind. Successful candidates will be able to demonstrate how they enjoy solving problems and looking for innovative solutions.

Job Duties:

HR Generalist (25%) – serving as an HR Generalist (Recruitment, Compensation & Benefits, and Employee Engagement) for a team of 10-15 marketing and analytics employees. Will also work with HR staff from DMAIPH business partners responsible for other DMAIPH teams.

HR Analytics Technical Trainer (25%) – will work alongside other DMAIPH trainers to deliver content specifically designed for HR Analytics training activities. Initially working with content already developed, over time the lead may develop their own content under the guidance of senior DMAIPH staff.

HR Analytics Projects (25%) – will work on ad hoc and ongoing analytics projects aligned with industry and academic needs to massively upskill HR staff. Will conduct research, prepare reports and deliver findings to DMAIPH management and key business partners.

HR Analytics Resource Speaker (25%) – will be assigned speaking roles at various academic and industry events where as needed. Content will be provided. Over time will become a spokesperson and champion for furthering the use of HR analytics in the Philippines.

Please note that we are not expecting successful candidates to already have work experience in all of these areas. There will be a large amount of training, coaching and mentoring to get the Talent Management Analyst up to speed. Above all else we are looking for someone who is curious, who is flexible and who can take initiative.

Compensation:

Starting salary depends on experience, but the position base is targeted at 30,000 PHP a month.
After probationary period, health benefits and paid leave will be made available (probation can last between 1 to 6 months).
Additional performance based incentives can be achieved for filling training classes and meeting HR metrics goals.
Up to P2,500 in tax-free allowances.
Possible 5-10% performance bonus upon normalization.
Complete 40 hours of work. This is a full-time job commitment.
Annual performance evaluation and compensation increases.
Standard employee benefits as mandated by Philippine law.
Company lap top and mobile phone may also be provided.

Location:

This position is primary office based, but will be able to work remotely a significant % of the time once past probationary status. There will be a need to go into the field to attend job fairs, DMAIPH training events and occasional conference and workshops. There may also be a need to report to our Ortigas office for meetings and trainings. During the onboarding and probationary period, the HR Analytics Strategy Lead may be required to come into the office regularly until they are fully up to speed.

Interested applicants please send your resume and contact details directly to me at danmeyer@dmaiph.com

An HR All-Star Team for the Decades: 2017 HR Congress Aug 16-17, SMX MOA

Some pictures do not require many words… I think this one speaks for itself.

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There are many HR events in August, but this is the only one you will find so many top though leaders. It is an honor to be among them.

OFW Recruitment Analytics = Zero Hits on Google

So in a few weeks I will be speaking at an event for OFW Recruitment Agency owners, managers and recruiters.

I didn’t expect to find much data on how analytics is used to measure effectiveness and to optimize the OFW recruitment process, but I was kinda hoping something might pop up.

So questions I’m hoping to find some insight into:

Do agencies find value in retaining or re-contracting OFWs for additional employments?
Do agencies use any analytics in their demographic profiling to recruiting certain types of OFWs from targeted geographic, social economic, religious, or live of education groups?
Do agencies have data on how they stack up next to competitors who are filling similar requirements?
Do agencies have internal business data that is used optimize operations.

My gut tells me although you’d hope I here yeses in response to these questions, most agencies would actually answer with a no.

Just on the off chance anyone knows of any studies, research projects or public data on analytics and OFW recruitment, thought I would share this.

HR & Recruitment Analytics – The recruitment and retention of top talent is the biggest challenge facing just about every organization. You really have to Think Through The Box to come up with winning solutions to effectively attract, retain and manage talent in the Philippines today. 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.

Help Me Pick an HR Analytics Topic…

I need your help. I am submitting a proposal to speak at an upcoming HR event being put on by my good friends at Ariva and need help determining which one sounds like the most interesting topic.

Option 1: Insightful HR: Integrating Quality Data towards Better Decisions

Most HR teams are surrounded by an almost limitless wealth of information locked inside business data. However, very few HR teams are consistently able to identify the right data at the right time and even fewer are able to integrate high quality data into the strategic decision-making process. The keys to data-driven decision-making are finding the right balance of analytics Talent, Technique and Technology. I will share a few of tips on how to align the 3 T’s in your business so that HR is able to empower data-driven decision making across the organization. For most HR teams, having good data is the easy part, distilling actionable insights is what makes all the difference

Learning Session Outline:

Learn how to Identify the right data
Discuss how to Inventory the data to gain actionable insights
Discover how to Integrate the data insights into HR decision-making
Unlock the analytics Talent needed for cutting edge HR Analytics
Reveal key analytics Techniques to analyze the data
Master the appropriate analytics Technology to optimize HR decision-making

Option 2: Driving Workforce Performance using Balanced Score Card Metrics and Analytics

Balanced Score Cards have been around since the 1990’s. HR teams across the globe have spent millions in trying to perfect ways to positively drive workforce performance based on metrics. So why is this still a topic of interest? Well, in most cases, it is because score cards and the metrics they report keep pointing us problems that are just not going away. Rising attrition, rampant job-hopping, and lower productivity are challenges we are all dealing with. In many cases, though the problem is not what we are reporting with our scorecards but the data we are populating them. As a whole, we are relying on metrics of the past to describe to us how we got here. What we need though is metrics of the future that accurately predict where we are going. I will share with you several of the metrics of the future I use for workforce reporting in my business and how we employ Predictive HR Analytics to optimize our scorecards.

Learning Session Outline:

Discuss HR Metrics of the Past
Learn about HR Metrics of the Future
Discover how to use HR Predictive Analytics
Design a Data-Driven Scorecard Template

Option 3: Strategic Problem-solving for Better Decision-making: Analytical and Critical Thinking in Motion

One of the biggest strategic challenges facing HR teams is transforming Big Data into actionable insights. The speed in which decision-makers need to act can often preclude the deep understanding of what value actual lies in the data. This causes misguided strategic planning and under informed decision-making across an organization. The best strategic solutions to quicker and more accurate decisions are found in a well rounded HR analytics approach. One that empowers critical thinking not just from the top, but down the ranks. Business Dashboards and Data Storytelling are two tools that should be used to quickly enable quick decisions in real time. I will show you how HR teams are able to keep one eye on strategic problem-solving while still taking care of daily challenges as they pop up.

Learning Session Outline:

Discuss the challenges of HR Big Data
Share HR Strategic Planning best practices
Learn how to get Real Time HR Data
Design HR Tactical Implementations using Analytics
Align HR with Organization-wide Problem-Solving and Decision-Making

Let me know what you think asap!

Thanks!

Analytics for HR Managers (2 Day Training)

Deploy Big Data Analytics Solutions to Align HR with Organizational Business Strategy

Learning Session Description

Successful HR Managers are strategic planners and take decisions which are apt and considering all the facts. They also have a knack for metrics as these are essential in improvising various process in the organization and make data-driven decisions for the benefit of the organization.

Learning Session Outline

In the past few years, we have seen the importance of big data, analytics and data science grow at a dizzying pace. By using meaningful HR Analytics techniques, your recruitment and retention efforts can be greatly enhanced.

A recent Facebook job posting for HR Manager described the importance of Analytics for HR Managers. “We are looking for a visionary who gets excited about using data insights to drive HR related business decisions at all levels. The right candidate thrives on HR data, overseeing dynamic reporting and implementing actionable analysis within both HR and across the organization.”

New techniques like predictive analytics and data storytelling as well as new technologies like social networks, applicant tracking systems and business intelligence applications are fundamentally changing the entire talent management process from recruitment to retirement.

The pressure on HR Managers to deliver results has never been greater as they are required to demonstrate the return on investment being made into HR functions.

Building analytics centric teams and using techniques taught in this training session will empower more data-driven decision making across your HR organization from the top down.

Learning Session Objectives

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

Who Should Attend

This session is suitable to a wide range of professionals but will greatly benefit:

HR Managers and Recruitment Managers
Business Analysts working with HR and Recruitment teams
Senior Leaders who work closely with HR and Recruitment

Learning Session Process

Based on a Set of Key Data Science and Analytics Competencies developed by the Asia Pacific Economic Cooperation (APEC), our learning sessions are designed for HR Managers to use both in the Philippines and across the region.

Session One – HR Domain Knowledge & Application: Apply HR domain-related knowledge and insights to effectively contextualize data, achieved by practical experience and exposure to emerging innovations.

The Complexity of Multigenerational Workforces
Aligning the Brand between HR & Recruitment and Marketing
State of Data Science and Analytics in the Philippines

Session Two – Data Management & Governance: Understand data management strategies and governance, incorporating privacy, data security, polices and regulations, and ethical considerations.

The 5 V’s of Big Data
The 3 Tenants of Data Governance
Following Data Privacy and Security Laws

Session Three – Data Analytics Methods & Algorithms: Appreciate the processes used to capture, clean and inspect data for HR & Recruitment. Evaluate and implement data analytics initiatives to derive insights for decision making.

Finding the Right Data at the Right Time
Data Warehouses and Data Lakes
Blending Data from Across the Organization

Session Four – Data Science Engineering Principles for HR: Use analytics software to share findings and tell data stories. Develop analytic processes to improve HR operations.

Getting IT: the 3’s I and the 3 T’s of Data
Data Science 101: How to Build a Data Science Team
Data Storytelling Case Study: The Best NBA Team of All Time

Session Five: Computing Principles for HR: Appreciate information technology, computational thinking and utilize programming languages to design and develop data analysis processes and techniques.

Optimizing the use of MS Excel for HR and Recruitment
Defining KPIs Case Study: Google Project Oxygen
Working with the IT Team: Buy them Doughnuts

Session Six – Statistical Techniques for HR Data Analytics: Direct the application of statistical concepts and methodologies for data analysis including predictive HR analytics.

Predictive Analytics Case Study: HP’s Flight Risk Model
Tying Management Reporting to HR Analytics Models
Group Exercise: Build a Flight Risk Model

Session Seven – Operational Analytics: Use data analytics and specialized business intelligence techniques for the investigation of all relevant HR data to derive insight in support of decision-making.

Competitor Landscapes and Demographic Profiles
Overview of Business Intelligence Tools
BI Tools Demo: Tableau Public

Session Eight – Data Visualization & Presentation: Ability to create and communicate compelling and actionable insights from data using visualization and presentation tools and technologies. Build a HR Business Dashboard prototype.

Data Visualization Guidelines
Group Exercise: Build a Business Dashboard Prototype
The Concept of Enchantment

Case Studies and Exercises

We will use case studies and group exercises throughout the two-day class. In these activities, the group is divided into teams. Each team will analyze datasets using the principals learned in the various learning sessions. These exercises will also use elements from the case studies as we progress from finding data, to conducting analysis on the data and finally presenting the data.

Augment BPO

The Augment BPO Data Science and Analytics Advocacy Project (Augment BPO) is empowering BPO Companies, Executives, and Workers in the Philippines to prepare for and address the clear and present danger posed by Artificial Intelligence Chatbots (AI Chatbots) to BPO revenue growth and jobs through Data Science and Analytics strategy planning, awareness building and upskill training.

DMAIPH Analytics Training

DMAIPH offers 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 to learn which of our DMAIPH analytics training solutions is best for you.

HR & Recruitment Analytics: 3 Reasons You Need More (Mar 28 – Ortigas)

On March 14, 2017 in Ortigas, I will be conducting a learning session on HR and recruitment analytics entitled HR Big Data & Recruitment Analytics.

Click here for more details and instructions on how to register >>>

The 3 top reasons for anyone working in human resources and/or recruitment to attend are:

To learn analytics techniques that will allow quicker, deeper and more impactful analysis of HR Big Data & Recruitment Analytics.
To be exposed to cutting edge technology being used to build predictive HR models for all aspects of talent management from recruitment to training to retention.
To assess the current state of analytics in your business and build a strategy to empower the greater use of both descriptive and predictive analytics in your organization’s decision-making processes.

HR Big Data & Recruitment Analytics – The recruitment and retention of top talent is the biggest challenge facing just about every organization. You really have to Think Through The Box to come up with winning solutions to effectively attract, retain and manage talent in the Philippines today.

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.

HR Big Data and Recruitment Analytics – March 28, 2017 in Ortigas

Thinking Through the Box: Aligning Your HR & Recruitment Analytics Strategy

A one-day learning session focused on Aligning Your HR & Recruitment Analytics Strategy and is geared towards teaching how Analytic Techniques can be used to optimize data from across the organization.

LEARNING SESSION OBJECTIVES

To learn analytics techniques that will allow quicker, deeper and more impactful analysis of HR & Recruitment Big Data.
To be exposed to cutting edge technology being used in other companies to build HR & Recruitment business dashboards and design more powerful reports.
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.

Session 1: Big Analytic Techniques for Finding the Right Data at the Right Time

Describe what is Recruitment Analytics
Discuss the current state of analytics in the Philippines
Describe the Importance of Effectively Analyzing Big Data in Business Today
Enhance communications and data sharing with the marketing team
Optimize the use of existing and past employee data Find synergies across company social media sites

Session 2: Key HR & Recruitment Metrics

Learn to let go of Recruitment Metrics of the Past
Start to use more Recruitment Metrics of Tomorrow
Defining Your Key KPIs to maximize value of reporting
Tying KPIs from across the business together
Unlock the Secrets of Money Ball Recruiting

Session 3: Cutting Edge Business Intelligence, Data Visualization & Business Dashboard Technologies

Optimizing Excel for use as a talent pipeline
Invest wisely in an applicant tracking system that includes key metrics
Utilize BI Tools like Tableau Public
Discuss the concept of Data Visualization
Build a Business Dashboard Prototype for HR & Recruitment Analytics

Session 4: Winning HR Recruitment Analytic Strategies with Big Data

Break down the data silos within your business to maximize shared information
Be decisive in the use of your data to align with business strategy
Learn to be enchanting with your reporting so maximize impact
Become the data cheerleader of your organization

In this session, your organization will be able to use:

Develop analytic techniques that you can use to break down data silos, improve decision-making and ensure a better return on investment from recruitment.
Explore analytics tools like business dashboards and data visualization to improve reporting.
Build a strategy to move your organization from current state to ideal state when it comes to the use of analytics.

In this session, participants will be able to:

Take part in hands on analytics exercises based on real business data to understand how to identify, inventory and integrate HR & Recruitment data into their recruitment processes.
Build a strategy to identify, inventory and integrate data from across the business and align it with HR & Recruitment data.
Build an HR & Recruitment focused business dashboard prototype.

In 90% of companies across the Philippines, data used by HR & Recruitment teams is not blended with data from other parts of the organization.

To ensure success, you have to not just think outside the box, but Think Through the Box to bring together all the data you need to align your HR & Recruitment Analytics with the overall business strategy of your organization. The incentive to align all the data in your business for use in recruitment is paramount to success. HR & Recruitment managers are now more than ever required to demonstrate the return on investment their efforts are contributing to the bottom line.

With that in mind, DMAIPH has created a learning session entitled: Thinking Through the Box: A one-day learning session focused on Aligning Your HR & Recruitment Analytics Strategy and is geared towards teaching how Analytic Techniques can be used to break down those silos and us data from across the organization to drive more impactful decision when it comes to your organization’s overall business strategy.

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LEARNING INVESTMENT

All rates includes “Putting Your Data to Work” an analytics book especially designed for Filipino Professionals, Training Module, AM/PM Snacks, Lunch and Certificate of Completion.

Early Bird Rate

P 6,000.00 + VAT (Pay the full amount on or before March 14, 2017)

Group Rate

P 6,300.00 + VAT/pax (Minimum of 5 members)

Regular Rate

P 7,300.00 + VAT (Starting March 15, 2017)

REGISTRATION

Kindly email us your Name, Company, Job Title and Phone Number. With the Subject: Data Analytics Seminar

info@sonicanalytics.com | analytics@dmaiph.com

You may contact us at (0917)799-2827 | (02) 959-8017

Terms and Conditions

Seminar Registration

1.1 Seminar registration shall be carried out via Sonic Analytics’s Website or the link provided by Sonic Analytics or DMAIPH, by entering the necessary information into the relevant online application form.

1.2 After registration, the following will be e-mailed to the registrants: A) Confirmation email; and B) the Invoice

1.3 Contract for the seminar shall be deemed to be completed upon the receipt of the confirmation email. If a registrant’s application cannot be accepted due to lack of vacancies or for any other reasons, he/she will be informed immediately

Cancelation

Cancelation by the delegate will be subject to cancelation charges as follows:

2.1) More than 15 days prior to commencement of the course: No penalty.

2.2) 6 to 14 days prior to commencement of the course: 25% of course fee.

2.3) 5 days prior to commencement of the course: 100% of course fee.

2.4) Failure to attend course without prior notice being given: 100% of course fee.

Sonic Analytics and DMAIPH reserves the right to cancel or reschedule a Public Course and in these situations every effort will be made to accommodate delegates on an alternative course or refund payment in full.

Payment

3.1 Payment of the full course fee is required within 7 days of receipt of invoice. Failed to do so, the reservation shall be forfeited

3.2 The course fee covers training, venue, training materials, am/pm snacks, lunch and certificate of completion.

3.3 All stated fees are exclusive of VAT

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Brought to you in partnership between DMAIPH and Sonic Analytics

An Analytics Guidebook for the Filipino Recruitment Professional

My next book will be out shortly, and it is born out of a need to help the tens of thousands of professionals involved in recruitment in the Philippines.

I have conducted dozens of HR and Recruitment seminars and spoken at least as many recruitment themed events over the past few years.

The most consistent feeling across all of my interactions with Filipinos involved in recruitment is one of almost overwhelming challenge. There are simply not enough qualified candidates to fill open job postings. And even when candidates are hired, the % who attrit prematurely is at an all-time high.

This disparity between supply of qualified talent and demand of open jobs has continued to widen over the past several years. This is especially true for jobs that require a certain level of proficiency in foreign languages and high tech computer skills. The boom in the number of BPO and call center jobs in the Philippines is the biggest reason for this inequity between supply and demand.

I often say, recruitment for the call center industry in the Philippines, right now, is one of the hardest jobs on the planet. Few places around the world are seeing such a concentrated effort to attract and retain employees from a fairly finite talent pool.

This analytics focused book, which is based on my interactions with thousands of Filipinos working in recruitment, is a much needed guidebook to find new and innovative data-driven solutions in the recruitment process.

As you read through this book, you will be exposed to proven methods to super charge your recruitment process and provide you with whole new perspectives on how to recruit and retain talent in your organization.

Each chapter will also introduce you to a new recruitment analytics metric that will empower you and your team towards a higher level of success when it comes to finding the right people at the right time.

Thinking Through the Box

An Overview of HR & Recruitment Analytics
The Global War for Talent
Analytic Techniques for Finding the Right Data at the Right Time
Where All Your People Data Lives
Getting IT: Building Analytics Centric Cultures
Big Data HR & Recruitment Analytics
Talent Management Process Improvement
Optimizing Excel Talent Pipelines
Cutting Edge Business Intelligence, Data Visualization & Business Dashboard Technologies
Presenting HR & Recruitment Data & Analysis
Aligning HR & Recruitment with Business Strategy
Using Data to Market You Brand in a Buyer’s Market

The book concludes with a bonus chapter on Winning HR Recruitment Analytic Strategies with Big Data. The book is almost finished, but in the meantime if you are looking for help with recruitment, I am available for consultations and in-house trainings. Send an inquiry to analytics@dmaiph.com if you are interested in learning more about how I can help you use more data in your recruitment efforts.

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.

Don’t Let Fear of Technology Doom Your Recruiting Efforts

One of the biggest challenges facing Recruitment professionals across the Philippines (and the world) today is a fear of technology. I hear this all the time when I talk with those involved in recruitment.

We all know recruitment is an expensive and continuous process just as trying to eliminate employee turnover is. Hiring and retaining top talent is the topmost priority for every organization yet few readily embrace the use of recruiting software or applicant tracking systems (ATS).

Given that people represent a company’s most important asset and attracting and selecting the right kind of talent is critical for a company’s successful operation, it is really a no brainer that technology would be a key to success. However, based on both industry research and my own observations, it is the single biggest impediment to successful recruiting in the Philippines.

For some it is a fear of the cost. For others it might be fear of admitting they aren’t very good at embracing technological change. And still others are afraid they will need to rely on someone else to show them how to use the technology. No one is afraid that technological solutions to recruitment won’t help. SO getting past the various causes of apprehension is their biggest challenge.

A good technological solution can connect the dots between you and your candidates. This helps recruiters automate the entire hiring process from capacity planning, career portal, resume management, assessments and interviews, offer management, and extensive reporting and insights into the process.

All in all, you can supercharge your recruitment analytics with the right system to significantly speed up hiring, reduce costs, and improve the overall quality of recruiting and employer branding. .

If you know you need an ATS and are ready to explore, I can help you figure out which of the hundreds of products out there best fits your unique need. Not all of them are super expensive and when compared against the cost of hiring more staff to hire staff, ATS’s generally have a much better ROI.

Finding Meaningful Ways to Use HR Data

One of the biggest challenges people have with using more data in their talent management process is that many leaders just don’t know where to start. Most HR organizations have tons of data on end to end talent management from recruitment to training to operations, but it is not easy to see meaningful patterns within all the data.

HR data used to be something easily captured in spreadsheets. Some of us have evolved to using more robust applicant tracking systems and talent management tools. Cutting edge HR teams are able to use the Big Data in their business to fuel a mature analytics engine that leads to insightful reports and business dashboards. Recent leaps in technology have given data hungry HR professionals access to a wide range of employee information that can be used in ways unimaginable just a few years ago.

To really find meaningful ways to use HR Data, today’s HR professionals needs to have at least a working knowledge of the data they have in their business. To be successful they need to know how to access and analyze the data, provide it to decision-makers and incorporate the data into a living process of continuous improvement.

In the end, success with HR data all boils down to the culture of the business. Is the team, or at least a number of the team, tech savvy and analytical? Is curiosity encouraged when it comes to finding new data? Is proactively mitigating risks and eliminating waste in the talent management process encouraged? If yes, then you are doing better than most.

Finding meaningful ways to use HR Data is not just about the cool new technologies available, nor is it just about harnessing the power of Big Data. It is as much as, if not more important that the HR team share a culture that optimizes the use of HR Data in defining strategy, making decisions and improving the business.

If you are wondering how to find more meaningful ways to use your HR Data, connect with me. I have helped dozen of HR teams to find ways to up their game when it comes to growing a data-driven culture that can maximize the big data in their business.

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