Big Data Analytics Consulting

[John Mayer]

Hi, I have been working for Aureus Analytics as business analyst. The task which I usually work on are assessing the requirements of the organization with respect to its operations and functions. The analysts then translate the requirements to physical and financial aspects, such as software and hardware specifications, and often help find the best financing options. The design and implementation of new systems also falls under the job description of business analysts. The lines between a business analyst and a programmer are often blurred as business analysts sometimes provide coding for the new systems and applications they design. Business analysts also test legacy and new systems and recommend changes after their assessment. Thus, their work relates to the organization's overall systems, ensuring that these systems meet stakeholder requirements.

There could be minor difference between Business Analytics and Data Aanlytics.

I hope it helps. If you still have any queries, let me know

 

[terzi]

Hi guys!

I have my own consultancy with a few fellas. We work mostly in Latin America, providing statistical tools for businesses and governments (this is quiet a lucrative side you may want to consider as well). In my experience, it is true that most companies, big or small will be resilient to provide their data. What I have been more successful at is to provide resources to generate more data for them, either experiments, surveys or even using freely available public data to their advantage. This way they are not "giving" us any data, we provide a solution that will generate the data and then we analyze it. After a few projects with a company they may be confident enough to provide some of their inside information, yet this is rare. Governments in general are even harder, so we mostly work with publicly available data or providing training so they can perform the analysis they wish. Luckily, we have a team to collect survey data which is what most governments want: again, they are not giving data, so we generate it and analyze it.

Well, that's my experience, which I hope can be useful for you. Good luck with the business!

 

[rogojel]

hi,
this is very similar to what we are doing as a six sigma consultancy. Six sigma does not have a very good name in the statistics community I guess, but basically the idea is what you described.
On the other hand six aigma is a much better established brand in the industry, so it might make sense to check if the two ( Data Analytics and traditional Six Sigma) could be merged.

If you are interested maybe we can continue in private?

regards
rogojel

 

[09dtk]

I have worked for both a very large company and now a small one(but with big revenue). The thing that I have found is that neither one is in a hurry to share their data and they are constantly worried about security. While I think a lot of business could benefit from analytical services, they will most likely be hard to convince.

 

[noetsi]

I think the comment about companies not sharing data with an outside firm is a very good one. You would almost certainly run into extreme reluctance to share propietary information. With governments it likely varies with country. The US is pretty good on that, as long as national security is not involved or some future projections, but many countries will be less so (during the Cold War the Moscow library book list and city phone book were long classified). Just as important the validity of government data in much of the world is subject to a lot of doubt.

I found the comment on six sigma really interesting. I think six sigma crosses the line from statistics to business information to operations research and many in an academic field won't know one of these (for example statisticians may not be familar with some operations research).

 

[nairishi]

Every organization is trying to leverage the data that it has, or that is has access to, much better than they ever have before. It can be tempting to just go out and buy big data analytics software, thinking it will be the answer to your company's business needs. But Big Data analytics technologies alone aren't; sufficient to handle the task. Well-planned analytical processes and people with the talent and skills needed to leverage the technologies are essential to carry out an effective Big Data analytics initiative.

 

[Khrisstian]

It seems as if people have concerns about how Big Data Analytics Consulting intends to market to its audience.

Certainly, (1) data is useful to businesses and (2) businesses are often attracted to data specialists. The problem is finding an edge that allows for you to get into the market. How much combined experience does BDAC have in data related fields?