Category Archives: Big Data

Big Data

Big Data

 

How does big data change the business environment?

Big data does comply with every definition of revolution. All of a sudden, everything we knew about analyzing data will need to be revisited – still, that’s what makes it interesting, right?

Below are our top 5 factors through which big data radically changed the game for the better:

  • Introducing the need for novel approaches to storing data
  • Requiring new means for iterating through data and analyzing it
  • Changing the focus from ad hoc queries and simple filters to examining varying in nature datasets of huge amounts of data
  • Making the need for instant and real-time updates even more obvious than before
  • Forcing us to stray away from the declarative nature of SQL and moving towards procedural languages for more flexibility

 

big data
big data

 

How to approach the big data challenge?

Below you can see our selection for the top 3 expert tips for businesses with interest in implementing big data:

  • Dimensional thinking
  • Stray away from thinking of natural-key terms
  • Expect and embrace unstructured data

So first of all, and with a little bit more detail – instead of becoming overwhelmed by the amounts and variety of data, think of it in dimensional terms. While more challenging, thinking of the data as structured is completely possible – all entities you are familiar with are already there – customers, products, services, locations, etc.

It just takes a fair bit of discipline to harness them – and the process of dimensionalization is crucial to your success. For example, while a simple and short post on social media might seem of little value at first, however with the right approach it might lead you to data about a customer, location, product, provider, customer satisfaction rating, demographic cluster, final outcome and who knows what.

With the dimensions already set and agreed on, be wary of “natural keys”. Even the most obvious ones – such as a book’s ISBN number might lead to inconsistencies between systems – we have seen this before even with lower volume, velocity and variety of data, and big data today makes this challenge even more transparent.

Make use of the surrogate keys that come with every solution. This will ensure a conflict-free future for your big data software deployment.

Finally, but probably most importantly – always expect unstructured data.

While the above two are good tools for harnessing the data, here is the reasoning behind it. Big data will often times remain outside of the SQL databases in Hadoop, or grids or some NoSQL implementation. And this is perfectly fine.

The big challenge of integration for such variety also brings bigger benefits. However with the right approach, the proper abstract thinking in order to dimensionalize and identify fields, you are in a good spot. Use it to your advantage.

How can we help you?

BI Consulting, M Mobile Solutions helps clients with business intelligence requests:

  • Business Intelligence Consulting
  • Business Intelligence Training
  • Business Intelligence Self Services Portal
  • Business Intelligence Recruitment

 

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BIG DATA NEWS

For those wishing to learn more on the subject, Kimball have recently outlined even more expert tips for:

  • Architecture of big data
  • Management of big data
  • Data modelling of big data
  • Data governing

For more information check their document named “Newly emerging best practices for big data“

 

 

 

Also check out BBC news for interesting topics such as:

  • The power of Big data
  • Using Big data analytics to contain the spread of Ebola
  • How is Big data changing lives

You can use the following addresses:

www.bbc.co.uk/news/business-29147254

www.bbc.co.uk/news/business-29617831

http://www.bbc.com/news/technology-21535739

 

 

 

Contact

 

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EMAIL                                                        INFO@MMOBILESOLUTIONS.COM

WEBSITE                                                   WWW.MMOBILESOLUTIONS.COM

 

ADDRESSES                                             NACHTWACHTLAAN 461

1058 ER AMSTERDAM

THE NETHERLANDS

 

Big Data

Big Data

 

What is big data?

Gartner does use define Big data as an innovative form of information processing for even further enhanced insight and ease and precision in decision making.

Seemingly coming out of nowhere, big data is now one of the terms that everyone uses everywhere. Joining Business intelligence as a no 1 CIO priority for the second consecutive year in 2015 (as claimed by no other than industry leaders Gartner) big data is driving transformative changes in multiple businesses.

What separates big data from business intelligence and standard data analytics known before are these three major attributes:

  • Big data is high-volume. As the name suggests, the quantity of processed information is significantly higher than what we previously dealt with. This allows much higher precision in informed decision making – however it does call for more resources and a new approach, too.
  • Big data is high-velocity. Since many executive decisions need to be taken as quickly as possible, real time data gives a huge advantage. The requirement to provide real time updates while also processing marginally larger amounts of data requires the means (and processing power) to also analyze and process the information much faster – which high-velocity stands for.
  • Big data is high-variety. Unlike Business intelligence, where the focus is mostly on the internal, big data is driven by external information. Obviously this means that the shape and form of information varies much heavily – making it more difficult to process and analyze. While this is a challenge, it is swiftly solved in the big data world – and businesses can already reap the benefits in 2015.

Source: http://www.gartner.com/it-glossary/big-data

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What are the key challenges in big data?

The above mentioned specifics, while bringing higher value, also create new challenges. Let us list the top 3 challenges before examining them:

  • The need for a novel information strategy
  • The new approach to data analytics
  • The means to managing enterprise information

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With more power comes more responsibility – as happens with larger stacks of data, too. The power of information needs to be harnessed and the bigger quantities call for new ways to leverage the information sources. Only this way can the potential growth turn into actual prosperity

While businesses have leveraged data analytics well before the emergence of big data, the datasets they worked with were of marginally lower size, but also complexity. There is significantly more space to look for future customer behavior and market trend insight now – but not without the proper means and approach. Focusing on the external does bring complexity with it, however there are multiple examples of businesses tackling this challenge more than efficiently. So by trusting the right people you gain the right to focus on the potential greater benefits instead of the bigger challenge.

How does big data change user expectations?

Big data also brought higher costs and newer tools to the market. User expectations have significantly changed. Employees are demanding more access to big data sources.

What’s needed to tackle this is a well thought out business plan, featuring strategically crafted processes and using the most suitable toolsets. Only by doing things right can the many data disparate sources bring their fullest value.

Gartner claim that through 2015, 85% of Fortune 500 organizations will be unable to exploit big data for competitive advantage. This is a clear tell that only a select few can harness the full potential of the new tools of the trade.

Believe it or not, this is good for your company. You have the great opportunity to be amongst the top 15% – simply by trusting the right people to do the job. Eight years of experience and multiple successful projects behind our backs suggest that you have come to the right place.

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How can we help you?

M Mobile Solutions can help clients come on top on various business intelligence related challenges:

  • Business Intelligence Consulting
  • Business Intelligence Training
  • Business Intelligence Self Services Portal
  • Business Intelligence Recruitment

 

Click here for more information on our Business intelligence consulting services.

Contact

 

PHONE                                                      +31208458541

EMAIL                                                        INFO@MMOBILESOLUTIONS.COM

WEBSITE                                                   WWW.MMOBILESOLUTIONS.COM

 

ADDRESSES                                             NACHTWACHTLAAN 461

1058 ER AMSTERDAM

THE NETHERLANDS

 

Relevant topics:

Difference between Big Data and Business Intelligence