The 10 Analytics Essentials of Entrepreneurship

A good friend of mine, Boom San Agustin, recently blogged about the essentials of entrepreneurship. Boom listed the 10 things most essential to be successful in setting up and running your own business.

This inspired me to put an analytics spin on each of the 10 points, showing how you can use data to augment each point.

Have passion for what you do. One way to measure how much of your time you are devoting to your passion is to set a schedule and track how much time is devoted to everything you do each day. If you are happy with the % spent on passion projects then you are doing the right thing. But if too much of your time is spent on things you don’t like doing, then you need to make some changes.
Pursue excellence first, money second. Here you need to do a lot of research and ask a lot of questions. You need a clear idea of what excellence in your chosen business looks like. How can you measure excellence with your products, your service, your team’s performance and engagement? Putting some key metics in place will allow you to make more informed decisions.
Be open and honest with others and yourself. Get feedback. See what % of your client, customer, partner, team member, interactions are honest and endure honesty in others. Come up with a way to measure the trustworthiness of what you do.
Have a “can-do” attitude. Keep a project list of all the things you need to accomplish. Update it every day. Be able to show yourself and others your progress towards getting things done. This will ensure that people see the work behind the words.
Be the leader your team needs. Devote significant amounts of your time to your team. Keep them informed by blogging. Build tools for communication like newsletters. Be visible in person and in social media. Track the frequency of your engagements and correlate them to employee satisfaction surveys.
Learn to communicate well. Get in front of an audience whenever possible. Engage the audience. Ask for feedback. Identify challenges and opportunities and then follow up. If your team doesn’t know what is going on in your head, then it is a problem. Gathering data on your communication strengths and weaknesses is key.
Be a teacher and a learner. Facilitate as much on-site training as possible. Get involved in it. Train people yourself on areas you are good at. And then sit and listen to other experts in areas you are not. Track the time put into training and come up with a cost justification. Its easy to cut training when times are tough because its hard to assign a value to it. Make this a priority now so you always know the valued of training in your business.
Have your ear to the ground. Stay engaged in person and on social media. Keep updated on trends affecting your business and your employees. Use a social media tool like Hootsuite to manage your social media messaging to get feedback all in one place. Lots of data points can be created and tracked to measure how close you are to the pulse of your business.
Be dynamic and open to change. Set a check-in schedule. Encourage one on ones and team meetings that are not just one sided but empower sharing. If you are open minded and listen, you will be able to make changes to your business that keep things on the cutting edge. Use a timeline to show where you have been, where you are and project out where you are going.
Know when to quit. We all fail. Businesses will all fail at some point. Winners know when its time to fail and walk away to do something else. Losers stay the course until they go down with the ship. Figure out what is the most important metric in your business. Sales, profit, engagement, risk potential… whatever it is. Figure out what is the lowest acceptable number, once you get close to it, be prepare and exit plan. If you pass it, face facts and pull the plug. Always have that data point at your fingertips.

If you are able to build in analytics like these, you will be able to manage your business well. You will set a tone among the leadership that uses data, not just the gut, to make decisions. One of your first hires should be a data guy who can build a business dashboard and deliver impactful reports. Someone who can help you identify risks and rewards and keep your focus on the metrics that matter most.

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

Big Data Analytics and Business Intelligence

Enabling Your Business to Make Smarter Decisions

Are you tired of being under constant pressure to make the right number-based decisions for your organization?

Are you too often overwhelmed by an out-of-control flood of numerical information, much of it conflicting and confusing?

Big data is booming ast as organizations devote new technology resources to tapping the terabytes (if not petabytes) of data flowing into their organizations.

Today big Data is flooding into the business both through internal processes and externally via social media.

What does this all mean for business intelligence (BI) users and systems?

With all the attention on advanced analytics for big data, what’s the play for BI?

Integrating advanced analytics for big data with BI systems is an important step toward gaining full return on investment.

Advanced analytics and BI can be highly complementary.

Advanced analytics can provide the deeper, exploratory perspective on the data.

BI systems provide a more structured user experience through there richness in dashboard visualization, reporting, performance management metrics, and more can be vital to making advanced analytics actionable.

Recently on December 6, 2016 I was at Astoria Plaza, Ortigas Center, Pasig City for a dynamic and empowering one-day training on Big Data Analytics and Business Intelligence.

Course Description:

Make smarter business decisions using these powerful data analysis techniques

Information is supposed to make us smarter, but more often than not, it simply overwhelms us.

This program is for you if you feel like you’re drowning in data and unsure which data to use to drive your company initiatives.

The truth is that the amount of data available to help run your business is greater than ever before. To effectively use this information, managers must consider the practical side of big data…what matters to you is how do you grow and build a team to make smarter decisions.

Much of the information out there just discusses the promise of the data deluge. The challenge is not the volume of data but rather the judgment needed to use it.

This seminar goes beyond the qualitative side of data analysis to explore proven quantitative techniques and technologies for identifying, inventorying and integrating data, so that more informed and reliable business decisions can be made.

Learning Objectives  

Apply Best Techniques and Cutting Edge Technologies to Organize, Interpret, and Summarize Quantitative Data
Create a Process to Analyze Data and Identify Patterns Not Apparent at First Glance
Reduce “Analysis Paralysis” and Go from Hard Data to Well-Reasoned Conclusions in Less Time

What Was Learned

Specific skills to effectively frame the problem you’re addressing to uncover key opportunities and drive growth
Critical marketing steps of orientation necessary before engaging tools and technology
How to simply and quickly amplify decision making by separating the signal from the noise
A framework for asking the right questions, allowing the ability to link analytics to business strategy

What Was Covered

Using data and statistics effectively in business today
Improper data manipulations and their consequences
Exploring quantitative data collection methods
Improving analysis success by effectively utilizing software
Understanding regression, trend lines, and scenarios in Excel
Utilizing the power of business intelligence software
Finding and analyzing data patterns, trends, and fluctuations
Interpreting and translating data into decisions

Who Attended

Over 80 business professionals who needed to learn more about the basic tools to quantitatively and accurately analyze the mountains of data that come across their desk each minute of every day.

Section One

Big Data—It’s Not Just Size

Describe the Importance of Effectively Analyzing Big Data in Business Today
Come up with a Data Map to Analyze the Big Data in your business.
Establish Clear Objectives When Analyzing Big Data
Recognize and Apply Various Data Collection Methods
Identify and Resolve Problems Associated with Data Collection
Discuss the difference between Data Warehouses and Data Lakes
Determine when to use Data Blending in your analysis

Section Two

Analysis—Using Business Intelligence Tools

Assess Your Current Analytics Culture
Describe the Issues and Trends in Today’s Analytics Field
Optimize your use of MS Excel for Big Data analytics
Discuss the concept of Data Visualization
Utilize BI Tools like Tableau Public
Build a Business Dashboard Prototype

Section Three

Interpretation—Assessing Results

Articulate the Importance of Accurately Interpreting Data
Determine and Analyze Risk, Uncertainty, and Probability
Spot Patterns, Trends, and Fluctuations Through Correlation, Regression, and Descriptive Statistics
Understand when to employ Descriptive, Predictive or Prescriptive Analytics
Build Data Models

Section Four

The Art of Presenting Big Data

Apply a Process to Present Big Data Clearly
Select the Appropriate Presentation Format to Communicate Your Findings Effectively to Your Audience
Master the Power of Enchantment
Use Findings from Big Data to Drive Decisions Within Your Organization

Too often people dive into the data only to be lost in haze of data.

This discussion will be pragmatic and immediately applicable to analysts, professional using analytics and managers of analysts across all industries.

Analytics Training – DMAIPH in partnership with Ariva Events Management, 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.

DMAIPH Quick Data Survey

A few months back I sent a quick survey to 3,000 of my LinkedIn connections who are either analysts or work closely with data and analysis.

Here is the question I asked.

Greetings! I’m hoping you can help me gather some data for a book I’m working on. If you had to breakdown the work you do into 3 buckets; finding data, analyzing data and reporting data, what would the % of each be? A quick reply with your breakdown would be hugely helpful in my research. Thanks! Dan Meyer, Analytics Champion, www.dmaiph.com

I got back over 400 replies.

Here is how they broke down.

%	Finding	Analyzing	Reporting
10	12%	6%	33%
20	14%	10%	39%
30	20%	31%	24%
40	6%	14%	2%
50	31%	16%	2%
60	14%	18%	0
70	0%	0%	0
80	0%	2%	0
90	0%	0	0
100	0%	0	0

The higher the %, the more each analyst spent time doing that particular phase of analytics.

Here are some of my takeaways from this simple (and very nonscientific survey)

I was surprised to see 45% spend half their time or more on finding data. To me this is one of the telling signs that Big Data has led to a shortage of top analytics talent.

Only 1 out of 4 analysts are spending 20% of less of their time finding data. These are generally senior analysts, well established in their company.

Only half of my analyst connections are spending 40% of more of their time on conducting analysis. With significant time spent on finding and/or reporting data you can imagine a lot of important discoveries are being missed and opportunities lost.

Only 1 out of 3 analysts are getting spend my recommended 50% or more of their time actually doing analysis work.

Based on my survey, reporting gets shortchanged a lot. All in, 96% of respondents spend 30% of their time of less on reporting.

My recommendation is that you spend about 30-40% of your time on the reporting aspect, and sadly only 4% of my analytics connections are able to do that.

In an ideal world, I would expect an analyst to spend no more the 30% of their time on finding data, and at least 30% on reporting their findings, leaving more or less 40% to do the actual analysis.

This breakdown is based on my own experience as an analyst as well as seeing how analyst working for data-driven companies work.

Only about 30% of my 400+ analytics focused LinkedIn connections come close to meeting my recommended breakdowns.

Which means I have a lot of work to do.

Analytics Survey – DMAIPH conducts quarterly analytics surveys to collect data on current trends in analytics. We specialize in surveys that assess analytics culture and measuring how aligned an organization is to using data and analytics in its decision-making. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out more about how DMAIPH can conduct surveys to help you assess the analytics culture in your business.

Data Analytics to the Rescue

I am a big fan of super hero movies.

One of the reasons why is that in many ways I consider myself to be somewhat of a super hero.

According to Webster’s Dictionary, a super hero is “a figure endowed with extraordinary or superhuman powers which are used for fighting evil.”

In my world, evil is analogous to ignorance… or the lack of information needed to make good decisions.

I live to fight this fight.

My extraordinary gifts are being blessed with a keen analytical mind and the ability to empower others to unleash their analytical abilities.

Analytics was not my career choice, but my innate curiosity and passion for answering questions put me in a position to become an analytics expert.

I have all the training and skills an educator needs, but instead of teaching in the classroom I train out in the business world.

On February, 21, 2017 I will be hosting a training on Data Analytics. E-mail us at analytics@dmaiph.com to register or get more info.

This will be so awesome.

I get to do what I do best.

And I get to do it in my adopted homeland.

I get to use my gifts to help Filipino professional unlock the curiosity buried inside them and use that to help empower more data-driven decisions in their organization.

#IamDMAIPH

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.

Measurement and Evaluation: Analytics and Data Driven Decision Making

Recently Worked on a paper for a school… interesting topic…Measurement and Evaluation Analytics and Data Driven Decision Making.

I will also be doing a related webinar this coming Feb 15 entitled Analytics & Data-Driven Decision-Making.

Webinar details:

February 15, 2017

1pm Eastern

Webpage with webinar registration links: http://programs.online.american.edu/msme/webinars

The ability to effectively evaluate projects, programs and processes requires a thorough understanding of analytics.

Analytics is generally defined as the discovery of patterns in data that provides insight and identifies opportunities.

Organizations that invest in analytics generally make much better business decisions then one’s that don’t.

In fact, IBM found that organizations who use analytics are up to 10x more efficient and 33% more profitable the ones who don’t.

A good analytics solution constructs a universal framework for collecting, analyzing and using data to determine project effectiveness and efficiency.

As the amount of data available increases daily, the use of analytics is becoming essential to all levels of an organizational today.

This Big Data allows both deeper analysis but also requires more skill in getting to the right data.

By taking inspiration from the way corporations use business analytics to optimize their Big Data, our program measurement and evaluation processes can be greatly enhanced.

Bringing data together from a variety of sources and integrating the data into the decision-making processes, allows the empowerment of decision-makers to make much more intelligent choices.

When analytics driven leaders possess the practical assessment skills needed to evaluate projects bridging various sectors and industries, they are much more effective then ones that don’t.

In today’s information age, the quick and efficient measurement and evaluation of projects using analytics ensures success with corporate, non-profit and governmental organizations across various sectors and industries.

Analytics Education – Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. All across the world, companies are scrambling to hire analytics talent to optimize the big data they have in their businesses. We can empower students and their instructors with the knowledge they need to prepare for careers in analytics. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can set a guest lecturer date, On-the-Job Training experience or other analytics education solution specifically tailored to your needs.

Which Analytics Training Is For You?

From my perspective analytics training options fall into the following categories:

Introduction to and/or Overview of Analytics
Technical Training on Specific Analytics Topics
Data Science/Advanced Analytics Training

Knowing which type of training you are selecting is super important as people just starting to get comfortable with analytics will probably be lost in a data science training.

On the flip side, a seasoned data geek will get bored in a introduction or overview class.

SO how can you tell which is which?

Here are a few suggestion on how to separate the intro classes from the technical classes from the data science classes .

First, most people who train on predictive analytics, using lots of math, statistics and building data models are probably talking data science. To get your bang for your buck in these classes you need to have a lot of exposure to the science side of analytics and be completely comfortable finding, analyzing and reporting data.

Second, if you are already working with data and you have specific tools you are working with for specific data functions, then you might be best served by going to a technical centric training. Like if you are using a tool like Tableau or Qlik or IBM Cognos to do marketing analytics or sending workforce management reports.

That leaves people who are either new to the idea of analytics or are just not sure where to start. Then you need an overview of analytics to figure out what you need in your business. Once you have a handle on your data, then you can really focus on certain technical aspects and get into data science.

The training I am conducting on November 22 is of the third kind. I will be giving an overview of various analytics techniques and technologies and introducing you to a variety of concepts to make the idea of using data to make decisions a reality.

On February, 21, 2017 I will be hosting a training on Data Analytics. E-mail us at analytics@dmaiph.com to register or get more info.

As a bonus, all attendees will also get a copy of my new book, Putting Your Data to Work. It’s a guidebook specifically designed for Filipino professionals looking to up their analytics games.

Aligning Strategic Business Insights Through HR Analytics

I recently gave a talk about Aligning Strategic Business Insights Through HR Analytics to a group of HR and Recruitment Managers and Senior Professionals.

Learning Session Description
From sourcing, through hiring, beyond training and towards retention, the best HR teams know their data and use it to stay focused on the overall strategy of the organization. This learning session is designed for HR and Recruitment professionals to identify key data points and be exposed to analytic techniques that are paramount to successfully aligning HR to a strategic business plan.

Learning Session Objectives
The specific objectives of this unique fun-filled learning experience were;

Be exposed to cutting edge analytic techniques being used by successful HR and Recruitment Team in the Philippines and abroad.
Gain a deeper understanding of what key metrics and data points add value to HR teams as they use data to align business strategy.
Be empowered to produce actionable reports that give decision-makers the right data at the right time to ensure a more solid business strategy.

Key Benefits from Attending this Learning Session
In this session, your organization was able to:

Define the most important data points to the organization’s strategic plan.
Develop an analytics strategy around how to better use data in decision-makin
Deliver new analytics techniques to the rest of their team to better align HR and Recruitment with the core business strategy.

In this session, your participants were able to:

Identify key data points within their HR and Recruitment business data.
Learn how to bring these data points into an inventory that allows quicker and more powerful analysis.
Integrate these data points and analysis into management reports full of actionable insights.

Who Should Attend

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

Executives, Managers and Business Leaders who are looking to empower their HR and Recruitment teams to use more data analysis in their strategic planning.
HR and Recruitment Managers who use data and analytics as well as employee analysts to help in strategic planning and business optimization.
HR and Recruitment Supervisors and Team Leaders who use data and analysis to manage their teams and implement strategy.
Analysts working with HR and recruitment data who add value to the overall HR strategy though their reporting and analysis.

Learning Session Outline

This session was broken into 4 key areas:

Cutting Edge HR Analytics
Finding the Right Data
Key Analytic Techniques
Actionable Reporting

Teams that are successful in each of these 4 areas, will be ahead of the game when it comes to keeping HR at the forefront of defining, aligning and implementing business strategy.

Learning Session Process

This session utilized a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes thought provoking discussions and analytics solutions presentations.

I can do the same thing for an in-house training for your business. You can either connect with me directly or get in touch with Ariva Events Management for a free consultation on how to get started.

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.

Looking for Unicorns – One Reason It Is So Hard To Find Good Analytics Talent

When I look at job requirements for analytics jobs I generally find myself thinking, is this person recruiting from the same talent pool the rest of us are? Or do they really believe that the narrowly focused and hyper specific skill set they are looking for don’t really exist.

Often I am asked by HR and Recruitment professionals here in the Philippines to help them figure out how to bring more analytics into their talent acquisition process. Before going to deep, I generally review job requirements to see how realistic the requirements are.

You would be surprised how often the people doing the hiring have no idea how hard it will be to find candidates, let alone if they even exist.

For example, a Data Analysts with an advanced degree in analytics, 5+ years related experience, with knowledge in a wide range of specific coding languages (SQL and R) and business intelligence applications (Tableau and IBM Cognos), and who also know how to perform advanced predictive modeling. And willing to work in an office (Eastwood in QC), that is hard to get to during commute hours for a total compensation package that is way below market rates (45,000 PHP).

That’s a real posting I just pulled off jobstreet.com

Good Luck with that.

Seriously, recruiters are often tasked to find analytics professionals that in reality are few and far between. There are no degree programs in analytics. You need to know what related course work will potentially make a good analyst like statistics or computer science. This broadens your talent pool when you know what schools have been producing graduates who have the foundation of analytics when they leave school.

Work experience is a tough one to gauge based on titles. I have seen far more “analysts” who are just doing basic reporting then I have true analysts with the ability to discover patterns in business data and turn them into actionable insights. You need to dig deeper to find out what data they were working with, what tools they used to analyze it and how they presented it to decision-makers.

Knowing certain coding languages is a plus, but given few businesses have the exact same data structures, it will take as much adaptability as experience to be successful in your job. Same with BI tools, just because you know how to refresh and share a business dashboard in Tableau doesn’t mean you know how to build a new one from scratch. Having experience is important as it lessens ramp up time. But don’t be fooled that it gaurantees success.

Analysts are in super high demand right now. Getting them to work like a traditional office worker lessens their ability to optimize your business. They need space to be curious, autonomy to discover and flexibility to put energy into projects that make a significant difference. 9 to 5 office hours, chained to a desk, following all the controls in place for a traditional office staff member is a waste of a beautiful mind.

And when it comes to pay. Six figures is not as farfetched as it might sound. If you are able to do a real cost analysis of what the analyst will save the company and/or new revenue they can help generate, they really are priceless.

SO before posting that job requirement, do a little analytic yourself to make sure you are not hunting for a unicorn.

Let me know if you need helping recruiting analytics talent. I can help you attract their attention and assure they will be successful once you get them.

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

To this end we have parterned with Ariva Events Management/Ariva Academy to offer a wide range of analytics themed trainings across the Philippines. Our next learning event will be on March 31 in Ortigas. It is called Data-Driven Decision-Making for Owners, Managers and Leaders. Click here to find out more >>>

Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out what we can do to help you acquire the analytics mastery you and your organization need to be successful in today’s data-driven global marketplace.

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.

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.

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.

522

SEMINAR FEE

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

*Group DISCOUNT (Minimum of 5):*

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

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

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

	DMAIPH on You Don’t Build A Busine…
	Ioliveiraserpa on You Don’t Build A Busine…
	DMAIPH on The Current Analytics Talent L…
	John on The Current Analytics Talent L…
	Dominic on Outsourcing Tip > Size the…