This question is very crucial to sustainable development. Why is there
a resounding lack of real data and information startups in Nigeria.
Reliable measurements definitely set standards for achievements and
inform decisions, investments and growth. So why despite the gap in
society is there a lack of will to do something in these areas. [Data,
statistics, information etc]
then again, I might be mis-informed and missing these start-ups, in which case I would love to meet them.
Hi @dataGuru
How do you define a data startup? Is it purely research-focused, or does your definition include those that generate and react to real-time analytics?
Data Startups are normally dedicated to real-time analytical services, collecting & integrating data.
Simple question. Seemingly passive aggressive answer. Interesting.
Anyway, there are a few companies in the financial, utilities, and national security space that generate and process real-time analytics. They use multiple sharded databases in clusters and n-dimensional queries. They are not quite Palantir-level visualisations but they are getting close.
Budgit, Delivery Science (I think).
Data startup in Nigeria is cumbersome because data is either unavailble, insufficient or expensive to collate. And we haven’t started discussing your monetization options.
Re Budgit, they are one of the most exciting companies in the space. However they lean more to the research-focused side and OP seems to be scouting for those that provide real-time actionable analytical services.
Re Delivery Science, I don’t know much about them and there’s a paucity of tangible information on their website. Perhaps if any of their team or alumni is present, they can share a bit more about how they work, and their current deployments.
When you say data startup, do you mean startups who are providing:
Building data startup requires a lot of experience in software engineering, it has to do with understanding how distributed system work at scale. it is not easy and cheap area to get into. There is a lot of moving parts behind the scene.
Disclaimer: I am the Founder of SiQueries
@ebottabi this is very neat. Much props on good presentation of siqueries.com
@gabe @techscorpion thanks for mentioning. Ourselves and BudgIT have different focuses. We focus on helping enterprise fmcg companies get visibility into their supply chain function. What does this mean? First is the automation of manual processes, next is the gathering of data, and finally the analysis & insight on the data collected.
Because Nigeria is such an information desert, a big chunk of our focus at DS right now is on the data acquisition and cleaning as the pipeline needs to be in place before analysis happens.
We are working with a few household name companies in Nigeria to do this, but as we’re Enterprise and not B2B, there’s not a lot we can or do say about this.
I’m also typically not on Radar much, but as I was mentioned by @gabe I got an email.
Healthink is a data startup focused on healthcare data analytics.
Thanks @ianreezy
@ianreezy will love to visit DS when in Nigeria.
@docneto interesting. Nice to see work is being done to bring analytical insights to Health data. I had some opportunity to work on a tool that analysis x-ray images with reinforcement neural networks.
Wish you guys all the best.
Thanks for responding.
It seems like you guys have your work cut out for you. There’s a lot of work in those first two stages. In my experience, it’s quite enough to ensure that many customers never get to stage 3 in any meaningful way. Sometimes it’s because they lack data scientists internally but many times it’s simply because most of the value is driven from the costs savings and the ability to plug fraud-related leakages that the initial automation provides.
For the vendors I’ve met on the other hand, the sheer amount of time spent supporting those two stages, whilst great for stable recurrent revenue, isn’t great for rapid growth.
Thank you guys for your response. It has been helpful.
the reliability of the data though
Does OP Mean, Data Startups that provide Business Intelligence on different sectors for Informed decisions? Data Startup is a very vague way to classify a business like that because its a very large sector. From BIG Data, Analytics, Business Intelligence, Research, Stastical modelling ETC ETC.
Big Data: None i know of
Analytics: BudgIT, BCG and other Research Based Groups not excluding KPMG and co
Business Intelligence: BusinessDay, BGL
Research: None i know of
Statistical modelling: Nigerian Bureau of Statistics.
Thats how it currently stands.
hmm thanks. Budgit is doing a good job. Nigerian Bureau of statistics. Really? I dont even trust their data.
I know the guy who was in charge of the NBS for a long time. Yemi Kale, prior to joining the NBS, was the Head of Research for Stanbic IBTC Bank, Ph.D from LSE, and one of the most data driven intellectuals I’ve ever met.
They have the largest pan-Nigerian data collection infrastructure so I think your statement is a tad uncharitable.
can i please get the name i would like to do some research as this is what we plan to do as well.