Tag: big data philippines

Which Analytics Training Is For You?

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

  1. Introduction to and/or Overview of Analytics
  2. Technical Training on Specific Analytics Topics
  3. 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.

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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.

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.

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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.

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.

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.

 

 

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.