Tag: Big Data

Learn How to Turn Your Data Into Insightful and Actionable Analysis

Data Analytics Seminar

February 21,2017

9:00am- 5:00pm

Discovery Suites, ADB Drive, Ortigas Center

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

  1. What is Data Analytics?
  2. Overview of Data Analytics in the Philippines
  3. Self- assessment of your own Analytics
  4. Finding Data, Mining and Presenting Data
  5. Internet Research Tips
  6. Management Reporting
  7. Reporting Using Excel
  8. Big Data and Data Warehousing
  9. Discussion about Descriptive, Predictive and Prescriptive Analytics
  10. Business Intelligence and Business Dashboards
  11. Using Data Analytics to Drive Decisions

At the end of this course you will learn:

  • How to do public data mining
  • How to provide data for Business Intelligence
  • How to build better reports in Excel
  • How to manage data for a business dashboard

Requirements: At least basic knowledge of Microsoft Excel

Who should attend?

People who make countless decisions every day!

  • Managers
  • Supervisors
    • Business Owners / Leaders
  • Team Leads
    • Accountants
    • Analysts
    • Students Enrolled In Related Courses of Study
  • Human Resources and Recruiting

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

While most people have an idea of what analytics is: data, analysis, metrics, and business intelligence are just the start… it is an abstract concept that is difficult to summarize in a sentence or two. Most business leaders know that they need more analytics based decision making in their operations, however few have figured out how to obtain it as analytics software or engaging high priced consultants doesn’t suffice.

This is where we come in. Daniel Meyer spent 15 years as an analyst with Wells Fargo Bank in the US, has combined that practical experience with his educational background; has a master’s degree in education, and developed an innovative training approach to analytics. DMAIPH specializes in a variety of analytics training solutions including ones designed for call center managers, recruiters, HR professionals, fresh grads, and analysts.

Learning Investment  IMG_7203

Exclusive Offer!! 

P 5,800.00 + VAT

This offer includes:

An Analytics Book especially designed for Filipino Professional

(Pay the full amount on or before January 20, 2017)

Group Rate (Minimum of 5)

P5,400.00

 Regular Rate: 

P 6,600.00 + Vat

(starting January 21, 2017)

All rates includes: Training Modules, AM/PM Snacks, Lunch and Certificate of Completion.

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

  1. Seminar Registration shall be carried out via Sonic Analytics’ Website or the link provided by Sonic Analytics or DMAIPH, by entering the necessary information into the relevant online application form.
  2. After registration, the following will be e-mailed to the registrants: A) Confirmation email; and  B) the Invoice
  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
  4. Cancellation by the delegate will be subject to cancellation charges as follows: More than 15 days prior to commencement of the course: No penalty.6 to 14 days prior to commencement of the course: 25% of course fee.5 days  prior to commencement of the course: 100% of course fee.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 of the full course fee is required within 7 days of receipt of invoice. Failed to do so, the reservation shall be forfeited
  • The course fee covers training, venue, training materials, am/pm snacks, lunch and certificate of completion.
  • All stated fees are exclusive of VAT

Mode of Payment

  • DMAI accepts Cash and Cheque only
  • You may deposit the amount on our BPI Account:
  • Account Name: DMAIPH DATA ANALYTICS
  • Account Number: 3553-3662-74

About the Speaker 

Daniel Meyer

Analytics Expert and Author

-President and Founder of DMAIPH and Sonic Analytics

-15 years of experience in the banking industry.

-Masters’ in Education

-5 years college teaching experience

-Published an Analytics Book titled “Putting Your Data to Work”

Having spent 15 years as an analyst in Wells Fargo Bank, Mr. Meyer gets analytics. With the combination of his practical experience and his educational background; Mr. Meyer has developed a unique and innovative training approach to analytics.

P600.00+ Shipping Fee

Putting Your Data to Work by Mr. Daniel Meyer is designed to be an analytics guidebook for the Filipino Professional. The primary aim of the book is to acquaint everyday professionals with a working knowledge of the key concepts of analytics. Whether you are an analyst, do analysis in your job or manage someone who does analysis, this book will help you get started with using more data in your decision-making.

To avail the book or get a free short version of the book, kindly email us your details:

Name, Company, Job Title, Full Address (for shipping) and Phone Number

For inquiries please call us at (02) 959-8017 and (0917) 799-2827

analytics@dmaiph.com | info@sonicanalytics.com

Testimonials 

“I really learned a lot especially in terms of how to maximize the wealth of talent-related information that we have in PMFTC. I am pleased to inform you that I am downloading tableau as i type this message. I am also currently outlining a report that i want to present to my boss by Monday. I am also thinking about ways to improve our team’s regular reporting to HR Managers, being that none of the HR Business Partners seems to read the weekly report that we publish. I am looking at making it more like an infographic rather than just a collection of pivot tables that it is today. I can go on and on about the things that i want do to with everything I learned today. Thanks again for today’s learning-filled session.”

-Patricia

PMFTC

“The training was informative. Learning the fundamentals of recruitment analytics will really help me in providing quality work to the team”

-Raine

Convergys

“Dan’s pretty good. Can’t wait to do something more practical in forms of the application of training lessons.”

-George

Accenture

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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 on which of our DMAIPH analytics training solutions is best for you.

I was at the Big Data Analytics Conference 2016 – Ready for the Next One!

Had the honor of being a panel speaker this past November 15, @ the Big Data Analytics Conference 2016 @ Enderun Colleges in Manila.

It was THE analytics event of 2016!

I was part of a panel discussing the topic of “The Future of Big Data Analytics in the Philippines”.

Other topics included Making Big Data Work for You, Powering Effective Marketing through Analytics, Building and Managing Your Data Science Team and a whole lot more.

On 15th of November 2016, Enderun Colleges, together with Global Chamber® Manila organized its 1st Data Science Conference entitled “Big Data Analytics Conference 2016” with a theme of “Making Big Data Analytics Work for You.”

Stay turned for details on the next one, coming in June 2017.

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Joined by over 400 attendees, we dove into the deep world of Big Data Analytics.  Attendees came from the business, government and public sector, technical, and academic communities to discuss the trends, tools and opportunities big data analytics delivers in your respective fields. Industry experts from all over the Philippines openly shared their best practices and insights to show attendees who to become future leaders in a data-driven environment.

The conference tackled topics ranging from leveraging big data analytics, new business models and opportunities, empowering marketing through data, to understanding what the future holds for big data in the country.

Visit the website set up for the conference to learn more.

>> http://www.bigdataconferenceph.com

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 on which of our DMAIPH analytics training solutions is best for you.

10 Points Where There is a Need for a Data Science Consultancy

My good friend Albert Gavino recently posted about why there is such a strong need right now for data science consultancies.

Bert is a data scientist in the truest sense of the word. So when he listed 10 reasons, which I think are spot on, I asked him if I could share. The 10 reasons are:

  1. Some (if not most) companies want to get into it, but are not sure if they need it.
  2. They need direction on how to do it.
  3. They need information on how much to invest in data science infrastructure
  4. They need people with skill sets to be able to implement data science
  5. Some are biased towards proprietary software while some like the open source guys like Apache.
  6. CEOs think it’s all about big data
  7. Data Science is continually evolving so don’t ask me about AI and deep learning….it’s still transforming things
  8. How much does it cost to consult for a data science? pretty high because we all know demand and supply in this industry
  9. Recruiters confuse programming languages and tools such as R, Python, SPSS, SAS, matlab, spark, scala, hadoop, hive, mahout (there are just too many out there they would get lost)
  10. There is a gap in our Academic Curriculum where they just teach electives such as Business Analytics which does lack a lot of information to the needs of the industry.

talas

So if the point is not already clear, there is a growing difference between the haves and the have nots when it comes to analytics and data science.

If you want to be with the have and leave all the have nots behind, you have to invest in a good analytics solution, a data science team and some technology to help you handle your big data.

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If you want to learn more, please look for my friend Albert Gavino or connect with me. Also, Talas Data Consultancy will be hosting a Data Science Conference on November 26, 2016. I will be there meeting and greeting analysts, data scientists and people interested in how to use data to drive better decision-making.

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.

Why Analytics Projects Fail – #12: New Technology

Occasionally one of the problems that can doom an analytics project is a new technology that emerges and makes the project obsolete before it is even implemented. This happened to me once when we were using an older and heavily modified version of Business Objects and then we got access to Tableau.

At the time, the flexibility of Tableau made our Business Objects business dashboard obsolete before we even completed the design phase of the project. The data visualization and the ease of use of Tableau Desktop at that time was miles ahead of anything our IT team could build around Business Objects. As a result, countless hours and dollars were lost, but in the end at least the business requirements we had established could be done by end users in Tableau.

Another example of how a new technology might impact your project is when a new version of the database you are using comes out. One that requires some much QA and/or testing to meet internal guidelines, that when it is finally approved it is hardly useful any more.  This can often be the case with big companies that have long vetting processes to use new version of software. You’d be surprised how many Fortune 500 companies are still running internal version of Windows XP because using 8 or 10 has not been approved yet.

Modifications done in house to off the shelf solutions can also make new versions incompatible. I have seen this happen with both Cisco and Teradata databases, where internal development of data flows and data structures to be so rigid, it was impossible to use updated versions of the same databases.

You can also come across situations where developers and IT teams are ordered to use something else because changes in a vendor relationships or a new strategy from the CTO.  In the end you have to adapt and either sacrifice, lose, or give up on what you have put into the project so far.

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As the number of data collection and storage options grow, the complexity of data models surge and the types of business intelligence solutions increase, the likelihood of a big analytics projects being impacted by new technology. A good analyst has to stay up to date on what’s hot and new, in order to not advocate the use of something that is on its way to being a dinosaur.

To help me stay current, I follow several blogs and belong to a dozen analytics themed LinkedIn groups. I also try and attend at least one big industry conference a year as an attendee as well.  And finally I read a lot. I end up going through 3-4 analytics themed books a month. If you are facing a situation where you are worried your project might fall victim to a new technology, let’s talk about it. I can help you figure out a solution to keep you and your project on the cutting edge.

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.

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.

Why Analytics Projects Fail – #7: Lack of Talent

When analytics projects fail due to lack of talent, this is generally symptomatic of a bigger cause. Lack of talent is something that can be much harder to fix then just hiring someone.

One of the reasons behind the lack of talent may be a misunderstanding of the project by senior leadership or just an overall lack of management support. As I mentioned in a previous blog, the best thing you can do is work with a senior leader to help them understand what level of talent is needed. When you do this you can enhance your analytics solutions and have them advocate for you to get the right talent.

Lack of vision and/or focus by your organization can also result in not having the right talent available for the job. It might not even be the analyst, but the it might be something missing within the development team or the project implantation team. This generally ends up with analytics solutions being full of patchwork shortcuts that limit their impact.

Lack of funding can also be an issue, where your organization just can’t offer a competitive package to the available talent. This is becoming even more of an issue lately as good analytics talent is in high demand and the supply can’t come close to keeping up.

Having the right analyst, with the right skills sets, the right training and the right tools aligned to give your business a good analytics solution misfires a lot. There are hundreds of business intelligence tools, thousands of types of databases, all generating very unique reports. When one of these elements does not match up it can easily cause a failure due to lack of talent.

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My suggestion if you think you have a lack of talent problem is draw some kind of process flow. Who are all the players in each part of the process? What applications are used to collect, store, analyze and report your data? What programming or language skills are required?  When you lay all this out then you have an idea of what skills and experience your analyst needs. Combine this with the people side of the job, what communication skills, what data visualization skills, what project skills does your analyst need? If you don’t have anyone in the organization with this list of skills, you need to either hire one or create one.

When you look at job postings right not for analysts, its easy to see that requirements vary greatly across positions.  No two companies have the exact same analytics needs not employee analysts the exact same way. So if you are going out to hire one, make sure you have a clear idea of what you need and not get caught up in looking for an analytics rock star.

It is often easier to actually look inside and find someone who can be trained to take on the role. Having internal business knowledge and knowing the organizational culture are huge plusses. A lot of time because that person doesn’t have the skills on their resume yet, they get excluded. However, I have always favored promoting from within and upskilling then going out and hiring an unknown variable.

So if you think lack of talent is killing you analytics project and are not sure what to do next. Connect with me. Let’s build a job description that tailor fits your needs and see where the best place is to find them. It’s probably someone sitting in a cube next to you.

Analytics Culture – The key to using analytics in a business is like a secret sauce that fuels Data-Driven Decison-Making. 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.

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.

Q9: Can you please describe the concepts of storing data in a data ware house?

Twenty years ago data was mostly stored in databases. These databases housed all the data a business would need to do analytics. Transaction data, sales data, customer data, demographic data was all neatly collected, stored and analyzed in databases.

A surprising number of companies still store most of their data in databases. It works well for business that just need to look at historical data to conduct basic descriptive analytics.

About ten years ago the amount of data captured in a business and the growing diversity in date sources and data storage brought about the mainstream use of data warehouses in the business world.

Data warehouse are often a collection of databases interconnected so that data can be brought together into one place for reporting and analysis.

Whether you are working with a data base or a data warehouse, you should have a basic understanding of how data is stored. It should be in table format, with header columns and data rows.

A good way to quickly assess the analytics culture of a business is to look at how data is shared among management. Does it look table like? Or is it obvious that most of the time spent by the author was put into decorating? If you can’t easy sort something, then you are not dealing with a good data culture.

The best way to have a good data culture is to have well documented data structures. Any dB admin worth a grain of salt has the data hierarchy mapped out and has a knowledge base to help users know what data is in each field.

Like with finding data, being good at storing data starts with knowing the environment. Any good analyst should have a basic understanding of how to use SQL to pull a query for a data table. Even if you cant do hard core coding, know how data is generally stored in a structure is key.

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Another important concept about data warehouses if you have to know how to join or blend data from different sources. When you have multiple data tables in a warehouse you often need to join the data on a common field. Data blending goes on step further as you are often trying to take data that doesn’t have a natural point on common that is easy to join on. Advanced data warehouses and data management tools can blend things easily, but its still important to understand the core concepts of how to join and blend data.

As I mentioned in earlier posts, there is now a new concept taking root that one up data warehouses. Data lakes are being used to address the fact that we have more unstructured data then we have structured data. Data bases and data warehouses were designed only to handle structured data the easily fits into a data able.

Now we have to collect data from images, videos, blogs, comments and other places that are not easily converted to a value. Data blending across both traditional structured data warehouses and new types of data is not easily done in most data warehouses so tools are being developed to bridge this gap.

The lake is no longer a place just to fish, but also to do all the other things a lake can be used for.

So, when it comes to understanding data warehouses, learn who built and/or maintains it and buy them a cup of coffee. Get your hands on the data dictionary, knowledge base, FAQ, metadata.. whatever you can to map out the data environment. If you do that then you can find use the big data stored in a data warehouse to find the right data at the right time.

Q8: Here’s something a lot of us are wondering, what exactly is big data?

Think about some of the things you do in your daily life. You get up, you eat, go to work/school, shop, do something for entertainment, bank, go online and do things on social media. Everything you do generates data. That data is captured in countless ways. And then its stored in countless places. And analyzed by countless numbers of people. And then used in countless ways by businesses to market, design, advertise, build, sell, and so on.

Every time you check your phone to see if there are any updates on Facebook you generate a lot of data for your phone manufacturer, your service provider and Facebook itself. Everything you like or comment on can be turned into a data point. The time, place and length of your connection all provide useful data. Get the point? Its endless.

That’s big data.

In general, big data is thought of as all the data businesses capture and store in a database that they can use for business decision-making.

When you think of data collections that have millions and millions of rows of data like big bank transaction data, or traffic data for major cities, or all the statistics captured everyday across professional sports. Way too much for man to analyze without help from technology. That’s all big data.

Every business defines its big data a little differently. There is no one way to look at how best to manage big data because big data is such a living, evolving, never ending flow of information. It’s like lakes of water that are too big to swim across and too deep to dive to the bottom of without help. And no two lakes are alike.

Data analysts and data s2.5.2cientists are the ones who know the lake and guide you across or build you a submarine to explore the bottom.

As I have mentioned in previous posts, knowing the data environment is key to your success. And big data just adds weight to that statement. If you don’t know where all the data is coming from, can’t be sure if its clean, then you will get lost in the deluge of big data.

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.

 

 

Q4: Can you please describe the current state of analytics in the Philippines? – Part 2

So the last blog post gave us the history. Now let’s cast an eye on the future.

Over the past year or so I have started to see a significant effort from data science and analytics professionals come together to address some of the challenges outlined in my last blog post.

In short, the way higher education and the government has approached the need for analytics talent is simply to little to late to meet the needs of many businesses.

Everything they are doing helps, but in the end the world is desperately looking at the Philippines to do with analytics what it did with customer service. To become a center of capable, long-term and affordable talent.

With taking customer service calls, it was a natural fit given that most Filipino college graduates have a foundation in English. With analytics and data science it has not been so easy. While many Filipino have the underlying course work in coding, database management, computer science, etc… they are not getting enough exposure to data-driven decision making, business intelligence tools,  and more advanced things like machine learning, prescriptive analytics and blending big data from diverse data sources.

I don’t want to sound too pessimistic, things are moving quickly but it is generally the multinationals driving things forward. They have the clients, they have the need and so they go out and find people and train them. That’s why 3 years ago hardly anyone in the private sector was offering analytics training, now you see more and more options all the time. They are generally expensive and narrow in focus, but they are opening up huge opportunities for data loving Filipinos to get into upwardly mobile and financially rewarding careers.

I belong to a couple of newly founded organizations of data scientists and analysts who meet on a regular basis to share knowledge, support each other’s ideas and build a community with the goal of using data to helping both the Filipino to fill these open jobs and for the Philippines to begin to use more data in decision-making so we can solve the big issue problems important to all of us.

It’s a pretty exciting time.

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So where next?

Given that the Philippines is one of the youngest countries in terms of average age on the plant and the youth are incredibly communal and very tech savvy, I have found great success in training batch of Filipino fresh graduates in basic analytics. Of the 200 or so trainees I have personally trained, most of them now have jobs with analyst in their title.

I have also seen a lot of talent quickly go from novice to expert using applications and doing coding in relatively short periods of training. In many respects the approach to analytics is more vocational then academic allowing for quicker training.

Beyond these strength, you can expect more partnerships between the government, higher education and big business to offer training and career pathing.  The success of the BPO industry is really the driving force to add employees who can do the tasks of an analyst. The huge surge in job postings demonstrates this quickening trend.

Finally, the reason I see a bright future for analysts and data scientists in the Philippines is the simple fact that Filipinos gravitate to under filled career paths, they push themselves to get the skills to fill those jobs.  You see it in the Middle East oil fields, in sailors and seamen in just about every ship at sea, you see it with overseas workers across the planet, and you saw it happen with call centers.

And that is exactly why I set up my business in the Philippines. Here are some of the analytics solutions we offer:

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.

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 Business or your HR & Recruitment process so you can rise to the top in the ever quickening demand for top talent.

All The Tools And All of The Talent but none of the Technique… Where Good Analytics Intentions Go Bad

I have seen so many examples of this. A majority of companies throw money at analytics in the form of buying new technology, but don’t spend a fraction as much on the people who need to make the technology work.

A good analyst using Excel is much more powerful then a mediocre analyst using a cutting edge BI tool. Without the innate curiosity, knowledge of the business and ability to communicate discoveries that come with a good analyst, your analytics plans will fall short no matter what the sales reps from the analytics companies promise you.

Now we have the 2016 Presidential Election results to analyze. Most predictive models had Clinton winning. Most of the polls had Clinton winning.

So where did the analytics go wrong? Well, its definitely not the technology. And I don’t think it was the talent.

In the coming days, I am pretty sure we will find it was the technique.

It was not getting deep enough data.

It was looking at the data and seeing what you expected to see.

Curiosity was lost.

Finding new perspectives to make sure we have the right data next time.

Hillary Clinton’s campaign will be a case study in where good analytics where not good enough.

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.