Tag: Analytics Consulting

Follow Up to Q17: HR Analytics Trends

As a follow up to my last blog, I wanted to share a few more points about HR and Recruitment analytics then time allowed for. So here’s what I left out.

First we are seeing a massive replacement of licensed, traditional HRMS systems taking place. Many large companies either have, our or are looking into replacing the core HR applications. Most where built internally, just store structured data, are difficult to pull data from unless you can write code and are not integrated with other data structures.

The replacements are often vendor managed, cloud based, data storage solutions with end user interfaces that simply finding and analyzing data and often automate much of the reporting. And they can be updated in hours versus minutes, versus the old platforms that could take weeks if not months to update.

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These new platforms are able to provide almost limitless data points, have built in business dashboards and are starting to offer powerful predictive analytics models. The days of many of the old school CRMs and ATSs we are using to manage people data are truly numbered.

Another trend worth mentioning is the efforts cutting edge teams are putting into both candidate and employee engagement. Attempts to “gamify” various part of the employee lifecycle to make data gathering, analysis and sharing more eventful is increasingly common. Its common knowledge that ways to attract and keep the attention of millennials is significantly different then it is for baby boomers or Gen Xers.

Dr. Sullivan mentioned that “we are seeing the traditional annual engagement survey is going the way of the dinosaur (slowly however) and a new breed of pulse tools, feedback apps, and anonymous social networking tools has arrived.” It has never been more important to look at not just the enterprise wide health of a company, but that of small communities within the enterprise.

Metrics that measure how engaged an employee once a year is are no longer enough. We can use things like sentiment analysis, text analytics and social media data scrapping to uncover things we would never see in a survey where everyone is pressured to give top scores.

And we really have to get beyond historical data and descriptive analytics to look at current and predictive metrics. We need to quickly know when and why metrics are headed in the wrong direction and measure the impact of our solutions. And this goes for not just current employees, but future ones as well. Candidate satisfaction with the hiring process is often an over looked metric.

We also now have the data and the tools to run predictive models on how, when and why someone may be looking to leave the company. This creates another whole area of HR analytics to look at.

Dr. Sullivan added that “we are seeing tools to predict flight risk, assess high potential job candidates, even find toxic employee behavior – are all in the market today.  While many are not highly proven yet, they all work to a degree, providing great value to any company.”

Now we have, three more trends to consider when it comes to analytics in HR & Recruitment:

  1. Replacement of old internal HR systems with new vendor managed tools
  2. The evolution of employee engagement tools
  3. Predictive analytics modeling

If you are curious about how to get more than just the most basic descriptive analytics out of your business data, then let us sit down and talk about. Finding solutions to replace your old HR systems with more employee engagement options and predictive analytics is not as hard or as expensive as it was a few years ago. Let me show you how getting back on the cutting edge  with your data can be done.

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.

Q17: What are some best practices and technologies used in HR & Recruitment Analytics?

HR and Recruiting Professionals have embraced analytics. It took a while, but the increased need for data and analytics tools –The ability to collect, process and analyze “big data” has become paramount to the people side of the business. In order to gain a competitive edge in the increasingly chaotic global workplace, those who use analytics to gain data-driven insights into recruitment, compensation and other performance centric trends are the ones on the cutting edge.

“In my opinion, 95% of all the work that is done on recruiting metrics ends up being a waste of time, because the work focuses on creating historical tactical metrics never actually used to improve recruiting performance,” says Dr. John Sullivan, an ERE blogger and recruiting metrics expert. He says there are 3 reasons why there are failures and wasted time when it comes to metrics:

  1. Recruiting metrics omit any “big-picture” business impacts
  2. Current recruiting metrics are 100% descriptive and only offer guesses on what is and what will happen.
  3. Once collected, the metrics are reported to “barley interested eyes” who then assign things to a committee whose time spent results in very little measurable impact.

If you are still focused on time to fill and cost per hire, you really are quickly becoming a dinosaur. In addition, the idea of trying bringing in new people while working towards retaining top talent are generally not assigned to the same people. The disconnect between recruiting good people and retaining the good people who have been recruited is a killer to many companies. Both the material and cultural cost of replacing a bad hire isn’t generally looked at.

There are lots of blind spots to what is happening not just internally, but also externally.  Knowing who you are competing against for the same talent and what makes your offer to sign or stay stand out from the crows. None of these points can be analyzed with old school metrics terms and methods.

Dr. Sullivan also recommends six strategic categories of metrics that will help your in not just recruitment but in many other HR initiatives like retention and employee engagement:

  • The positive performance increase added by more productive hires
  • The failure rate of new hires and the damage done by weak hires
  • The losses created by a weak hiring process
  • The opportunity costs of “missed” landable top talent
  • The cost of using excessive hiring manager hours

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If you are looking at metrics like these, and sharing your findings not just with the recruitment team, but the boarder HR team, you can come up with big picture strategies to deal challenges much more effectively. In my own experience, a few other noteworthy trends in HR and Recruitment Analytics to consider include:

  • Disruptive Technology. Giving tools and information to managers and employees directly allows action to happen much quicker and be much more localized in impact. Success means giving the power to the end users so that HR can do more to oversee and manage big picture metrics.
  • Once A Year Is Not Enough. Annual reviews and employee surveys are too old school. Using analytics to gain insights can now be done 24/7. This can really have positive changes on employee engagement without the drawn out and too formal process made uniform to all.
  • Outsource Stuff. In successful companies, many tasks are outsourced to vendors who can do a lot more specialized things then in house generalist staff can do. Its just to much to ask a few people to stay on top of all the things important to the people you rely on. You have to pick and choose what you can keep and what you can outsource.
  • Mobile Apps. Designing apps for mobile first use is the way to go. We too often rely on old school thinking and take web-only or web-first tools and repurpose them for mobile. Times have changed. Mobile first is the way to connect with todays candidates and employees.
  • Look For It On YouTube. Video based learning, recorded by localized subject matter experts is on the cutting edge. The bonuses of learning from someone who is doing it versus traditional corporate trainers and enterprise world eLearning modules is another key to success.
  • Out Of The Box Analytics Tools. Behind the fire wall HR applications are being replaced or augmented by vendor based analytics tools that are more dynamic and expandable. Many can set on top of or replace current tools that are being used to gather, store, analyze and report data. The days when everything has to be designed, developed and maintained by an internal IT team is also going the way of the dodo bird.

So there you have it… becoming an HR and Recruitment Analytics ninja is going to take a lot of new thinking and a lot of letting go of how it worked in the past. Everyone agrees recruiting has never been harder, retention is getting more challenging and the future of finding and retaining talent is looking like a nightmare on the horizon.

If you need some guidance with how to being your HR and/or Recruitment team into the information age, I’m happy to help. One of my favorite things to do is get in a room with HR and Recruitment staff and talk about how to bring the team form the past to the future when it comes to analytics.  Just ask me how.

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.

Q16: Can you tell us more about current trends and hot new tools in social media analytics?

This question can lead to its own 20 part FAQ itself. As we all have witnessed, the daily growth in both social media channels and social media users can be an analytics nightmare.

Trying to capture the right data you need and not get side-tracked by useless data, while at the same time looking for new data to add value, in conjunction with storing your data in secure and accessible places, and constantly having to provide new data and analysis to decision-makers… it can make your head spin.

And then you add the complexity of social media, not knowing which platform has legs and will become the new thing, which ones are losing their edge and which ones are already dinosaurs. We all have way more apps on our phone then we every use and we probably have signed up for more social media services and have forgotten about them then ones we are currently using.

SO with all that in front of us, how do we look for current trends and tools in to use in our social media analytics. My answer to that, do what I do. Every few months I block off a day to review blog posts and articles I’ve bookmarked commenting on social media analytics.

Based on my latest research below is a couple of lists of what the experts predict will be the top social media analytics trends in 2016 and what are the best analytics tools to manage your data with. But this post comes with a Use By date… what’s hot today may be gone tomorrow… Friendster, FourSquare, My Space, we love you once, not we barely remember you.

Top Social Media Analytics Trends for 2016:

  1. Omni-Channel Analysis. The new buzzword for cross-channel. How do you get your Facebook Insights to match up to your YouTube Hits and your Instagram Likes and fee them to your LinkedIn connections? You need to have an omni-channel strategy and there are several tools you can use to do this.
  2. Real-Time Customer Engagement Analytics. Knowing when potential customers are in front of you and engaging them in a conversation. We have the data to know when they are likely to be shopping and what they are probably looking for… which will allow marketers to do more pulling and less pushing.
  3. Mobile Specific Data. Companies that use social media effectively can tell you what % of users, candidates, clients, etc can to you via mobile. And they will all tell you the same thing, the % of mobile versus web has shifted dramatically and is not slowing down. If you don’t have a mobile solution for whatever it is you do, then your business is on the verge of going extinct.
  4. Machine-Learning. If you are a point where you have invested into automation in your social media posting, monitoring and reporting you are a step ahead. If you are actually using AI to drive social media engagements, then you are on the cutting edge. If you don’t understand these concepts, then you need to start learning about them and how to bring them into your business now. It’s not the future any more.
  5. Data Visualization. This one is constant year after year, because we keep creating better and better tools to allow us to make engaging visuals with our data. If you are going to spend anywhere in your social media budget, make sure data visualization doesn’t get undervalued.
  6. Data-Driven Decision-Making. More and more people are figuring out the just being on social media isn’t enough. Nor is hiring people to just do social-media. You have to have decision-makers who look at social media strategically to use it do broaden your message, share your brand and offer your services. You have to have a culture in place that knows what to do with the data you gather and turn analysis into action.

There are many other trends, but these are the ones I see being the most important to my current and future clients.

So now for a few tools that I have used that can help you capitalize on these trends:

  1. Hootsuite – The market leader. Manage up to 3 social profiles, Basic Analytics Reports, Basic Scheduling, Add up to 2 RSS connections and basic integration.
  2. Keyhole – Measure your overall impact on Twitter, Facebook and Instagram. Giving you access to an intuitive and shareable dashboard, it tracks hashtag, keyword and campaign metrics in real-time. These include reach, impressions, periods of high activity and more.
  3. Buffer – See the engagement numbers for your Facebook, Twitter, Google+ and LinkedIn posts. Based on these metrics, it also identifies your top post of the day.
  4. Cyfe – All-in-one business dashboard app which helps to easily monitor all the business data from one place.
  5. quintly – Track, benchmark and optimize social media performance against competitors’ and derive an optimal social media strategy.
  6. Klout – Quantify your influence on each major social platform. Giving you a mark out of 100, it grades you based on your ability to engage and drive action.
  7. Google Analytics – Top choice for analyzing website traffic that can be uses to measure the value of traffic coming from social sites, determining how visitors behave and if they convert.

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I have also heard good things about Datasift and Social Harvest, but they require coding to really get the best value from.

So there you go, an 8-hour discussion wrapped up in a few pages. Connect with me if you want to learn more about how to get handle on all the data you are creating using social media. If it’s not giving you the strategic edge you expected, then I can help you change that.

Hybrid Staffing Solutions – It’s Not Just Outsourcing

One of the challenges of my business is that it is not simple to explain to someone.

We are not a straightforward outsourcing company.

I don’t work with clients who are just looking to save money by sending jobs overseas.

Instead I offer a hybrid staffing solution. And what is that exactly?

First off I specialize in basic analytics. The types of clients we take on have a need for someone to analyze something in order to answer questions and provide solutions. We don’t do traditional customer service, we are not tech support and we don’t take on many advanced analytics projects.

If someone comes to me asking about predictive analytics models, the blending of big data sources or data science, I am happy to consult with them long enough to find a good match with a company who deals in these things. But it’s not what we focus on.

We are good at things like analyzing social media content, public data mining, building and maintaining business dashboards, conducting demographic research and gather competitor data. We use Tableau and Excel. We help people who have systems in place, they just need assistance with maximizing their value. This is what I teach my team.

We are a niche business partnering with companies who have a specific need.

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Our clients are small to medium sized businesses in growth mode. I’ve worked with both small mom and pop businesses and big corporations. They both have limitations to our business model. Our clients all have an analytics centric culture, they just don’t have the resources to optimize and grow the business completely in house.

Another difference between what we do and what traditional outsourcing companies offer is that most of our team is home based. As a general rule, I don’t like the office based model when working with talent from the Philippines. Running an office team in the Philippines is very complicated due to the labor laws and competitive market. It’s us much easier to attract top talent at an affordable price by setting up virtual teams.

In the end, my success has primarily been because we find ways to merge the culture of the client with the team in the Philippines. We don’t look and feel like most outsourced teams, because we integrate the new team into the client’s culture.

So now you have a better idea of why I say it is somewhat of a challenge to explain our model. We offer hybrid staffing solutions… a Philippines based, virtual team set up to mirror the client culture who offer a variety of analytics and back office business services.

Maybe it is not as hard to explain after all.

nalytics Outsourcing – DMAIPH has successful set up Filipino analytics teams for over a dozen U.S. based businesses. Offering both virtual and office based teams that specialize in problem solving using data, new technology and analytics techniques is our strength. Finding and empowering analytics talent is increasingly challenging, but we have it down to a science. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to learn more about how to set up an analytics-centric team in the Philippines.

The 3 Parts of Me: BPO Elite, DMAIPH and Sonic Analytics

A little about me. I oversee three small companies that specialize in analytics. I am not actively trying to sell you my services, but do hope that if you ever have a need for tailor made analytics solutions, you remember me.

BPO Elite is a consulting business that matches up companies in the U.S. with talent in the Philippines to do a variety of basic analytics and back office work. We DO NOT deal with companies looking just to send jobs overseas, focusing only on partners who need to add flexibility and depth to the talent pool. We have helped over a dozen companies find the right solution for their business to date.

DMAIPH is a company designed to deliver analytics training and support to colleges and universities looking to add more analytics centric courses and materials to their curriculum. To date, I have consulted with over a dozen of the top schools in the Philippines as well as working with student interns from UC Berkley, San Diego State and Diablo Valley College. My interns have helped a number of small business with basic analytics projects. I also blog about my love for analytics and how I teach it.

Sonic Analytics is a training business that focuses on corporate trainings in analytics related topics. Based on my experience as a senior analytics consultant with Wells Fargo Bank and in teaching analytics to college students in both the U.S. and the Philippines, I have come up with a very effective way to help professionals get a better handle on the analytics culture in their business. I have delivered trainings to thousands of people over the past few years, helping them learn how to make more data-driven decisions.

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Each company represents one of the key components of my dream to bring better analytics to as many businesses as possible.

 

Q6: Can you provide some tips on how to manage data?

So you have the data lake, the messy version of the lake or data swamp and then the pristine, well managed version of the data lake called the data reservoir.

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Imagine how a reservoir of fresh water is used for multiple purposes… fishing, drinking, watering crops, providing electricity. That’s how your data should be structured. Even if you are working with multiple data sources made up of a lot of unstructured data from social media, you need to be organized with your data.

I’m willing to bet that if you are reading this then you are by nature pretty organized. Analysts tend to be. If you are working in an data swamp and the company culture is not data-driven, the best advice I can give you, no joke, is to find another job.

What to look for in a data-driven company? Are the data warehouses easy to use? Is their documentation on the data architecture? Is there a knowledge base? Are there experts and are they open to helping you?

If you say yes to questions like that, then your data management tasks are generally about optimization, data blending, adding new sources and being a kick ass analyst.

If you say no to questions like that, then your data management tasks are generally about cleaning data, lots of data validation and having your analysis be filled with caveats that you might be missing something.

So a few tips I have for those in good data companies; get your documentation fresh, do a lot of bread crumb dropping, save your queries and models.

Keep the data architects,database admins and/or IT staff in your circle. Share with them how powerful your analysis is because of their help. And most importantly, show you masterly of the data lake.  Tell your story. And teach others how to fish in it.

For those of you not so blessed with good data cultures. You have to start on both ends. Map out the data flow. Try and assess where the data goes bad. Is it the input or capture of the data, is it a loading process, is it filers? Once you get a start on the front end, then go to the back end.

Who needs the data? How much of what data is being provided now is actually usable? Eliminate any unnecessary data. Basically start cleaning up the swamp at the same time you map it. And again tell this story. Don’t make excuses, but you do need to educate. Let people know there is a problem with the data and outline what you will do to correct for it.

In either case, before you go out and request or purchase new tools or start adding new data… make sure you have the architecture figured out. That’s the best tip I can give you about managing data.

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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.

Q3: What are some of the current trends in analytics?

Every few months I devote a day to discover what are the current trends in analytics. I do this both to refresh the slides in my presentation and to refresh my mind to see what I may have missed.

The amount of literature out there on analytics continues to blossom at an amazing rate, making it a true challenge to stay well versed on what’s hot and what’s not. I read a new analytics themed book about once a month and I have well over 200 blogs, web sites and social media groups cataloged. So I like to think I’m pretty well versed on what is current.

Every time I go to list the top 5 analytics trends, I find that some things change and some stay the same. Ever since I have been doing this, data visualization is near the top. Business dashboards continue to be a big need. Business intelligence tools evolve and new ones’ pop up, but Tableau continues to be a market leader. 90% of us still use Excel for 90% of our analytics work.

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Still a lot has changed. When I started this just 5 years ago no one was really talking about Big Data or Data Science. People just stared discussing using predictive analytics and now its all about prescriptive, even though most of us are still just doing descriptive analytics. For the newbie, descriptive = historical, predictive = forecast models, and prescriptive = really complicated models with a lot of variables to not just predict the future but to show a lot of alternatives as well.

Now if you talk to experts they make think nothing I have mentioned so far is new. But to the novice analyst or to the manager who really doesn’t care what’s it called, she just want’s results… its all new to them.

So I try each time to really find something really new not just to me but truly new to analytics. Six months ago that was the idea of using a data lake instead of a data warehouse. For those still unsure what a data warehouse is, it’s a collection of databases stored and/or connected centrally. Data lakes are used to describe the reality that more and more data is now unstructured data.

The discussion on what is unstructured data and how best to mine it and integrate it with structured data has really been at the forefront for a while now. Going from 80% structured to 90% unstructured in in just a few short years as mankind generates unprecedented amounts of data not easily captured in a database every day.

As of today, if I had to pick 5 topics to talk about it would be (1) Hiring Data Science and Analytics Talent, (2) Big Data Analytics, (3) Data Warehousing and Data Lakes, (4) Data Blending and (5) Mining Public Unstructured Data

Check back with me in a few weeks and this list will change.

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.

Q2: Can you tell us what makes you an Analytics Champion?

Well, the first thing you should know about analytics is that there is no one right way to do things. Analytics is in many ways a new profession and up until very recently few people have seen being an analyst as career path. In fact the majority of analysts became so by accident.

Like in my case, most analyst are drawn to analytics because they like to solve problems, have an affinity for working with data, are tech savvy and above all else… insatiably curious. By the time I first had analyst in my title, I had already been doing analytics for several years.

Right out of college I found my novice skills with Excel, my interest in sharing knowledge and my ability to solve problems leading labeling me the data guy. There is nothing specific in my background that would suggest I’d become an analytics guru someday.

Majored in History with a plan to be a teacher. Obtained my Master’s Degree in Education. Started to teach. The school I was working at went bankrupt. Took a job with Wells Fargo Bank just to pay the bills and 15 years later I had amassed a wide range of analytics skills.

If you ask anyone with analyst in their job title, most of them have similar stories. Until recently you could not even get a degree in analytics as schools are just now offering analytics focused courses and degrees.

In 1998, I had the good fortune of being hired by Wells Fargo. The factors that contributed most to my success with the bank were two things inherit in the culture; its progressive use of data in decision-making and its accepted practice of moving up the corporate ladder by moving between departments.

If I had to pick one thing above all others that had made me a good analyst, it is my ability to quickly assess a problem and then identify the data needed to solve the problem.  For my money, finding the right data is the most important trait to have and also the hardest to teach. It comes out of being curious and letting that curiosity drive you to find answers.

For 15 years that drive lead me to add new skills, learn new technologies, and develop new methods to become a proverbial jack of all trades when it comes to analytics. I often describe myself as a super hero, analytics being my super power and the wide range of skills I’ve picked up being items on my utility belt.

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I am far from an expert on most of the ever increasing number of analytics tools out there, but I know what they can do and what they are good at. There are definitely a lot of people who are better at different aspects of analytics and no one can know it all. But in the end, I have become in many ways a guru of analytics.

I love talking about analytics, explaining it in layman’s terms, empowering people new to the concept, turning on the light in a dark room. I also love talking about prescriptive analytics models, using SQL code to write a complex join between data tables or figuring out what tool would be best use to build a business dashboard.

Providing people with the fundamentals of analytics is what I have been destined to do.

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.

How to Build Your Business Strategy

Business strategy is something that comes naturally to me. I’m good at anticipating challenges, at doing research to assess the risk and reward to multiple options and I love to use data to validate or refute initial findings.

Though easy for me, I have found that being successful with business strategy is not as natural for most business owners, senior managers and decision-makers.

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When I set up my first company, it was based on a year of research and lots of networking. When I launched my second business it was based not just on research and networking, but learning from the mistakes made the first time with financial planning and partner relationships. Now on my third business, having taken the best of everything that worked before and finding ways to mitigate the things that went wrong before.

Now, for most business leaders you can’t just hit the rest button every few years, but you should hit the reset button on your initial strategy. Adapt to changes in the market. Glean new insights on cutting edge technology. Stay on top of industry trends.

That’s the first key to business strategy. Understanding that it is a continual process that evolves. Many businesses fail because they don’t change with the times or because leaders just stick with what has always worked. That’s dinosaur thinking.

Any good business strategy has to adopt a continuous process improvement policy, using something Six Sigma or Lean to keep things form getting stale.

A good business strategy also seeks out new technologies that can disrupt both their business and their business marketplace. What was cutting edge and trendy six months ago most likely be as effective six months from now. Good Business intelligence tools that can do cool data visualizations and build business dashboards help us stay ahead of the game. I show a lot of people how to do this using Tableau Public, which is free and easy to learn.

The next key to business strategy is integrating customer insights into everything you do. If you don’t listen to your customers, if you can’t predict what they need, and if you have a strategy that puts profit before customer experience you will probably fail.

It amazes me when I see bad customer service, products that no longer meet customer needs being produced and unimaginative marketing campaigns. In this day and age, with access to our customers at unprecedented levels, there is no excuse for failing to get it right the first time.  We do a lot of surveying and engage using social media to stay connected.

The third key I include in my business strategy planning and consulting is understanding the competitive landscape. Knowing where we stack up in the marketplace, what are our strengths and weaknesses, what is hot and what is not… you need to put as much focus on what is happening outside the business as you need to know what’s happening inside.

Almost everyone I talk with about their competitors share with me one common feeling… I don’t really know what my competitors are doing. In fact a high percentage even struggle to identify who their key competitors are. We are active in industry organizations, online social media groups and attend competitors events to stay up to date.

Business strategy is a lot more than just business intelligence, customer insights, and competitive landscapes, but it is a good start. If you are able to add these to financial models and demographic data, you will have a well-rounded business strategy. And then its just a matter of keeping it fresh, resetting it every so often to make sure you don’t become a dinosaur.

Let me know if I can help. In the past few years I have helped companies of all shapes and sizes refine their business strategy using my keys to success.

Business Strategy with Analytics – Aligning a business strategy to drive an organization forward requires a robust analytics solution. Businesses who have good analytics tend to be much more profitable and efficient then ones that do not. DMAIPH has helped dozens of companies in both the U.S. and the Philippines with adding more data analysis in their business strategy. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out what we can do to help you align your business strategy with analytics.

The Philippines An Emerging Center For Analytics

There has been a lot discussion the past several months about the relative pros and cons of outsourcing analytics. The biggest perceived con are that an outsourced analyst might not have the necessary business knowledge to pose the right questions or to clearly identify threats and opportunities.

However, the reality is that with the global analytics talent gap expanding at a rapid pace, many business have no choice but to explore outsourcing options for some if not most of their analytics.

Having worked with several businesses who have successfully outsourced analytics projects and even whole teams to the Philippines, I can say that the pros far outweigh the cons. Here are a few of the pros that I can testify to:

1. Speed and Focus. Once optimized, detached team can often get more done and get it done faster as they are able to mono task.

2. Fresh Set of Eyes. Given enough time to get up to speed on things, an “outsider” to the business often can see the forest through the trees.

3. Scalability. The savings based on things like having a team that can be quickly grown or shrunk based on business need and access to labor pools with a lower cost ratio can often make a big difference when it comes to covering all the bases.

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There are countless other reasons why business in the U.S. are increasing looking across the Pacific for analytics talent including an American style of English, an affinity for the American business practices and a firm commitment from higher education to produce analysts.

In fact, the number of academic courses and corporate training programs offering business analytics is growing rapidly here in the Philippines.

As key players in the BPO industry here in the Philippines look to meet many of the analytics needs of companies abroad, the pros will continue to outweigh the cons.

And that is exactly why I founded DMAI.