Showing posts with label Technology. Show all posts
Showing posts with label Technology. Show all posts

Thursday, 3 March 2016

"STRIVE MASIYIWA" Turn your business into a "technology company" (Part 1).


The other day I was talking to a friend who runs a fast-
moving consumer goods company, or what the experts call an
"FMCG" company. He was surprised when I said to him, "I
also consider myself to be in the FMCG sector; I discourage
my people from seeing our business as a ‘technology’
business.”
"I don't understand what you mean?" my friend said. "I
thought you were in the telecoms business; isn't that
technology?"
"We sell fast-moving consumer goods. Our products and
services (things like ‘airtime’) are for the mass market
consumer. We’re no different from Coca Cola. We’re chasing
the same consumer dollars."
Then I added, "Now if you’re a consumer goods company
selling bread, you must begin to see yourself as technology
company if you want to succeed in today's digital world."
A technology company that sees itself only as a "technology"
company will end up losing sight of the customer. And yet
almost all businesses must so embrace technology in
everything they do that, for all practical purposes, they’re
"technology" companies:
__The most successful businesses today (big or small) are
those that see themselves as "technology" companies,
irrespective of what business they are in!
Confused?
Imagine an entrepreneur who’s running a small supermarket
at a busy business center. Her business seems simple
enough: she buys fast-moving goods like bread and meat,
and sells them to her community, and perhaps to people who
travel through it, like tourists or visitors.
How can we turn her business into a "technology business”?
How could she use technology to make herself more efficient,
attract more customers, be more profitable, and grow --
perhaps into a franchise? What advice would you give her?
# She needs to have a smartphone for starters. Through her
smartphone she can buy applications (Apps) readily available
on the Internet to help her with things like inventory
management, payroll management, record keeping and
accounts.
All this is technology.
# She can use the Internet to link up with wholesalers and
other suppliers to order goods and compare input prices.
# She can research the retail price her competitors are
charging for the same items.
# She can bank using her cell phone. She can be part of a
savings scheme.
# She can invest in a credit card terminal to attract new
business and larger orders.
# She can advertise her goods on the Internet using
everything from Facebook, to Instagram, etc.
# She can even set up her own website. There are so many
young people who can develop a website for her at very little
cost. Whatever business you’re in, even the informal sector,
you must begin to have a presence on the Internet!
Technology matters in your business. Take the time to look
for creative ways to leverage it to make your business more
visible, efficient and profitable!
__Don't think you must wait until you’re “big” before you learn
to harness technology. You’ll become big by harnessing
technology! Even if you’re running a rural trading post or sell
goods at an informal market, technology can give you
information, efficiency and competitive edge to help you
succeed and prosper.
In this series I’ll talk about how technology can transform
even the smallest business, in any sector. As the great
inventor Thomas Edison said, “There’s a better way to do it -
find it!”
To be continued. . .

Sunday, 21 February 2016

Understanding Proper Data Analytics


Data analytics is the process of analyzing raw data to
uncover hidden patterns, such as Market trends, Data
correlations, Customer preferences, Performance analysis, and
other useful business information that enables companies and
organisations make better, informed, data backed decisions.
Applications of Analytics covers all departments in an
organization including; Marketing, Finance, Customer Service,
Risk, Sales. In today’s challenging and competitive
environment, Data Analytics cannot be overlooked to stay
ahead of the competition.
With Data Analytics,a new concept in most organisations, we
are sometimes short of proper understanding of what it really
entails or what value it brings to the table. Without this
understanding managers cannot decide if it is worth the
financial investment and analysts do not know if acquiring
skills in data analytics would increase their analytical abilities
and professional worth.
This course is focused on developing an all-round
understanding of Data Analytics, its strengths and areas of
applications. It will separate the myth from the facts and give
participants a practitioner’s view of what data analytics really
entails by adopting real scenarios to buttress key points.
Data Analytics is a bit more than you envisaged.
Registration
There are very limited slots. To register reach Evans on
08135487554, 07012956959 and eotalor@gmail.com or
Michael on 08089382423 andmike@urbizedge.com
Course Duration
1 Day
Course Delivery
This course is non-technical and is focused on understanding
of analytics concepts and processes. It is a key step for
organisations that intend to leverage data analytics to
improve processes and for analysts that intend to venture into
the world of data analytics
Target Participants
Managers, Analysts, Analytics enthusiasts
Course Outline
Introductions
· Introduction to Data
o What is Data
o Data structure
o Data Gathering
o Data Storage
· Introduction to Business Analytics
o Analytical Thinking
o Understanding Data
o Analytical Process
· Analytical Grouping
o Descriptive Statistics
o Predictive Analytics
o Prescriptive Analytics
Platforms
· Microsoft Excel
· Advanced Analytical Platforms
o R/Python
o SAS/SPSS/Knime/Alteryx
· Business Intelligence and Data Visualization
Platforms
o PowerBI
o Tableau/Spotfire/Qlik
Analytics Models
· Monitoring models
· Management models
· Decision models
Analytical Projects
· Sales Analytics
· Marketing Analytics
· Social Media Analytics
· Risk Analytics
· Process Optimization
Facilitator
Evans Otalor (BSc, MSc, ACSI)
Evans is currently the Principal Quantitative Solutions
Consultant at Ingress Solutions. He is an experienced
analytics professional with demonstrated track record
successfully structuring and managing analytic projects with
Banks, TELCOs, and FMCGs.
Skilled in the application of Mathematical and Statistical
Methods to collect, organize, interpret, and summarize data
for quantitative modelling projects that include both Data
Analysis and Predictive Modelling to aid insight extraction,
Risk Disclosure, Reporting, Measuring, Monitoring, and
Predicting.
Highly experienced in Financial Modelling, Business Analysis,
and Data Mining. Expert user of Microsoft Applications
(Including MS Excel, Data Mining Add-in, Power BI, and
PowerPoint), R, SPSS Modeler, Alteryx, Knime, Spotfire,
Tableau, and various Data Analysis/Visualization tools.

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