12 Useful Resources to Explore the World of Big Data

ECM TechNews

Big Data Challenges

• Big data, this flood of data that scares some people, has moved from hype to reality.

• However, collecting more data does not always mean better insights.

• The exponential data growth via social networks and soon by connected objects tomorrow has become big challenges.

• The cursor should now be on the exploitation of useful data; or somebody call it Smart Data.

• How to achieve this mission to make intelligent data?

Big Data posts from ECM TechNews• Data Analysis

– 6 Right Steps for Any Data Analysis – 6 Mindful Tips About Big Data Analysis Everyone Must Read– 10 Pitfalls to Avoid in Big Data Analysis– Top 8 Data Analysis Techniques Every Manager Should Understand

• Data Tools– 5 Big Data Tools in the Cloud– 9 Hot Big Data And Analytics Startups To Watch

• DataViz and Storytelling– 6 Tips for Effective Data Storytelling– 4 Infographics Depict the Future of Big Data– 6 Fascinating Big Data Visualization Examples

• Data for Business– 3 Key Steps to Build A Successful Business Database– 9 Key Considerations for a Successful Big Data Strategy– Big Data Transformation in 2016 – the 6 megatrends You Should Know About

Data Analysis

6 Right Steps for Any Data Analysis

1. Define the right questions2. Use the right data3. Collect data with the right designs4. Choose the right methods for data analysis5. Choose the right tools for data analysis6. Choose the right visualization to present your results

Read More:http://ecmapping.com/2016/04/26/6-right-steps-for-any-data-analysis/

Data Analysis (Cont’d)

6 Mindful Tips About Big Data Analysis Everyone Must Read

1. Dig deeper for richer insights2. Change to an open mindset3. Find the small treasures in Big Data4. Clean up your data before using it5. Promote and maintain a data culture6. Do not try to analyze everything

Read More:http://ecmapping.com/2016/04/22/6-mindful-tips-about-big-data-analysis-everyone-must-read/

Data Analysis (Cont’d)10 Pitfalls to Avoid in Big Data Analysis

1. Do not make decisions from Big Data2. Do not engage Data Scientists3. Answering the question “what”4. Focusing on the processing of data at the expense of analysis5. Failure to follow the time and cost6. To confuse correlation with causation7. Overloading the process8. Thinking too big9. Be led by the data10. Put customers in boxes

Read More:http://ecmapping.com/2016/07/18/10-pitfalls-to-avoid-in-big-data-analysis/

Data Analysis (Cont’d)

Top 8 Data Analysis Techniques Every Manager Should Understand

1. Correlation Analysis2. Regression Analysis3. Data Visualization4. Scenario Analysis5. Data mining6. Monte Carlo Simulation7. Neural Networks8. A/B Testing

Read More:http://ecmapping.com/2016/04/27/top-8-data-analysis-techniques-every-manager-should-understand/

Data Tools

5 Big Data Tools in the Cloud

1. Amazon Web Services (AWS)2. Google Cloud Platform3. Microsoft Azure4. IBM Analytics5. SAP HANA Cloud Platform

Read More:http://ecmapping.com/2016/07/15/5-big-data-tools-in-the-cloud/

Data Tools (Cont’d)9 Hot Big Data and Analytics Startups To Watch

1. Confluent2. H2O.ai3. AtScale4. Algorithmia5. Bedrock Data6. Wavefront7. RJMetrics8. BlueTalon9. Cazena

Read More:http://ecmapping.com/2016/03/14/9-hot-big-data-and-analytics-startups-to-watch/

DataViz and Storytelling

6 Tips for Effective Data Storytelling

1. Speak the same language2. Tell the story, then show the pictures3. Develop your characters4. Show “What-If?”5. Document commonalities and differences6. Continuously improve

Read More:http://ecmapping.com/2016/07/08/6-tips-for-effective-data-storytelling/

DataViz and Storytelling (Cont’d)

4 Infographics Depict the Future of Big Data

1. The Future of Big Data - By Aisling2. The Big Data Crisis - BY BICORNER.COM3. The Future of Big Data - By Hotel Insight Editor4. Big Data, Present and Future - By BBVAOpen4U

Read More:http://ecmapping.com/2016/03/04/4-infographics-depict-the-future-of-big-data/

DataViz and Storytelling (Cont’d)

6 Fascinating Big Data Visualization Examples

1. The Internet Map2. Cybermap3. Tweetping4. Twitter GNIP5. Hivemindmap6. Earth Wind Map

Read More:http://ecmapping.com/2016/04/04/6-fascinating-big-data-visualization-examples/

DataViz and Storytelling (Cont’d)

6 Fascinating Big Data Visualization Examples

1. The Internet Map2. Cybermap3. Tweetping4. Twitter GNIP5. Hivemindmap6. Earth Wind Map

Read More:http://ecmapping.com/2016/04/04/6-fascinating-big-data-visualization-examples/

Data for Business

3 Key Steps to Build A Successful Business Database

1. Understand the structure2. Break data silos3. Enrich data by real-time updates

Read More:http://ecmapping.com/2016/06/08/3-key-steps-to-build-a-successful-business-database/

Data for Business (Cont’d)9 Key Considerations for a Successful Big Data Strategy

1. People with different skills2. New business culture3. Legal issues4. IT considerations5. Analytical methods6. Data diversity7. Three important trends8. Data Visualization?9. More than just data

Read More:http://ecmapping.com/2016/05/26/9-key-considerations-for-a-successful-big-data-strategy/

Data for Business (Cont’d)

Big Data Transformation in 2016 – the 6 megatrends You Should Know About

1. Intelligent systems based on machine learning2. Change in business models3. Improvement of predictive analytics4. Integration of data in the enterprise5. Data visualization will provide a comprehensive overview6. The Big Data conquer new industries

Read More:http://ecmapping.com/2016/04/18/big-data-transformation-in-2016-the-6-megatrends-you-should-know-about/

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