Jahanzeb Taj
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Jahanzeb Taj, Vice President, Marketing at Mobilink,
understood the pressures, but it didn’t change the fact that
his side of the business needed those reports in the red-hotatmosphere of Pakistan’s cellular market. “Each and every
day, we need tools that help us increase revenues,” he says.
Problem
“Our biggest issue in 2009 was we had no real visibilityinto the interaction between primary sales and wholesaler,
wholesaler and retailer, and retailer and consumer.”
The sales and marketing teams asked the BI team if therewas a way to create a dashboard that would give them the
insight they needed to keep stock (pre-paid scratch cards,
SIM cards, and electronic top-up capabilities) where it
needed to be in the market. Doing so, would not just ensureretailers and consumers could acquire what they need on
the spot, thus increasing revenue, but also would createa more efficient sales operation that would have the right
number of people servicing the right number of retailers
with the right amount of stock each and every day.
Problem
it was difficult to control where the
stock was going and we didn’t have key performance indicators(KPIs) for salespeople,” says Taj.
“We needed to give business users a way to take control
of their own information,” says Rao. “In order to do that,
they needed the right context for their queries to make the
stories applicable to the needs of the business.”
The concept, of course, makes sense, but making it a reality
in an organization that has 32,500 salespeople serving
200,000 retailers, who serve 32,000,000 customers, with
data entering the warehouse from eleven disparate systems
would prove to be a significant challenge
proposed solution
Creating the Sales ModelsIn recognition of those intense demands, Mobilink thoughtfully
planned and implemented a multi-stage process that
it hoped would truly meet the needs of business users
today and be flexible and scalable enough to adapt to new
insights and the continuing change within Pakistan’s cellular
phone industry. It set as its first priority the creation of the
type of self-service sales information models that Taj and
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his team believed would unearth insights needed to win the
battle for subscribers and maintain industry leadership.
“For each information model, we created small teams of representatives
from the business units and from IT,” says Rao.
“And we created a methodology for designing the models
Before creating the sales models where the teams defined every entity, every object, and the
outcomes they needed.” Rao calls this a “very top down
business design, with only one goal: the user experience.
Get them the right information in a way that they can use it.”
For three or four months these teams examined needs and
grouped them into categories of information. They defined
metrics, analysis needed, and the necessary elements for
drag and drop analysis. “For example, an unused retailer is somebody who has
run out of stock,” says Rao. “But what causes that? Is it
impacted by region? Technology, such as an automatic
refill versus a manual process? We needed to define an
outcome, such as understanding how many retailers are
running out of stock at 4:00 in the evening or why we have xamount of unserved retailers. Then, once we define all the
outcomes, define hierarchies of information, define rules
around them for building the information, then go about
building metrics: numbers per week, per region that enable
us to compare something like all distribution officers on a
particular metric.”
Mobilink took two important technical steps.1. It enhanced its Teradata foundation witha Teradata Data Warehouse Appliance. The appliance is used for more strategic,in-depth reporting that demands historical
data, thus freeing up the main data warehousefor more operational queries.2. By implementing Informatica’s data integration(ETL) solution, Mobilink improved dataloading time by 25%, enabling the in-depth,daily insights into sales activity that retaildirectors need when they arrive at workeach morning.
“We needed to give business users a way to take control of their own information.”Ehtisham Rao, Director of Business Intelligence and Billing
Business Impact
The evolution of Mobilink’s BI environment, leading to thecreation of its sales models, has had a positive, rippling
effect on many aspects of Mobilink’s business.
Increased Revenue, More SubscribersIn a market where 98% of users have a prepaid plan, the
most important short-term impact has been on such things
as prepaid sales balances. Mobilink’s primary sales force
and wholesalers try to optimize those balances by keeping
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retailers properly stocked with SIM cards, scratch cards,
and electronic top-up capability.
Here’s the difference. In the past, retail directors (regional
sales and development directors) for those sales teams
could only see which retailers had been served on a weekly
basis. The sales plans – scheduled retailer visits and staffing
– reflected that somewhat limited understanding“Now they get all the details they need on a daily basis,”
says Afzal. “The retail director comes in at 9 am and has a
pre-built report that shows all served and unserved retailers
from the previous day. In a drag and drop environment, he
can then identify specific retailers and associate them with
historical information, as far back as a month. There are
also other dimensions and measures on the side, so that by
10 am the director has complete details on the previous day
and can decide how he wants to proceed “After using our model, we took corrective measures that
enabled us to bring the deviation down to 50%,” says Afzal.
“We improved both the plans, and adherence to the plans.”
Along the same lines, what Taj calls “move-around sales” – which means crossing into other sales territories to quickly
get rid of stock – had begun to negatively affect overall
sales targets and the permanent journey plans
All of these factors have translated into real-world business
improvements that contribute substantially to Mobilink’s
ongoing competitive advantage.
> Mobilink has improved stock availability at retailers, by
increasing the number of served retailers (those receiving
stock each day) by 5% and reducing non-served
retailers by 3%.The company has unearthed potential areas of growth
and previously anemic markets with upside potential,leading to an increase in the number of active retailers –
those maintaining and selling Mobilink products – by
another 5%. “Through BI we are able to pinpoint with
precision the customer groups that have healthy communication
trends and can act as a green field for revenue
enhancement activities,” says Rao. “These customers
are then targeted with upselling and cross selling
campaigns.”
> Since the implementation of the sales models, there has
been an increase of 2% in subscriber recharges.
Lower Costs, More Efficiency, Improved ProfitsEven as revenues have grown, Mobilink has been able
to use the sales models to improve its cost management
capabilities and efficiencies and, so, drive stronger profits.
“Putting the models in the hands of our business analysts
has unearthed a number of cost improvement initiatives
simply by asking questions that dive into different directions
and open new areas,” says Afzal. One cost management
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effort has been to right size the sales force in each region;
another is creating more efficient and targeted marketing
campaigns. For example, the sales models revealed that a significant
portion of subscribers have calling circles that are limited
to four unique numbers. Such information helps Mobilink
streamline its offerings and marketing efforts.
“Analytics enable the commercial team to judge the quality
of sales in a variety of ways, which has a direct impact
on the operational and marketing costs in terms of which
new acquisition campaigns are value based and which are
bleeding the system,” says Rao. Notably, new customer
acquisition is up by 4% since the advent of the sales models,
and the profitability of those new sales has improved by 4%.
says Rao. “Our high value customers are
handled with more experienced customer service
representatives and their queue time is less than any
regular customer. Similarly, we pitch different marketing
offers to our customers based on their previous uptakesand behaviors.”
> The self-service nature of the sales models has freed
the BI team to pursue more strategic initiatives. “For
example, we were supposed to be developing a dashboard
for high-level strategic planning, but the workload
kept delaying us and conditions kept changing,” says
Afzal
The models have also improved network planning
through a better understanding of network element
performance. “BI, with its cell level traffic analysis, has
added tremendous value in our network expansion andcoverage projects,” says Rao.
> By bringing inventory and sales information together,
the company can allocate its inventory more efficiently,
ensuring retailers and subscribers can get what they
need, when they need it.
The BI team gave us a wonderful sales model
that has made a major contribution to our 2-3% growth in
sales. I can quickly and easily find out what kind of stock the
retailer has and what kind of stock a salesperson is supposed
to deliver that day and what kind of stock the retailer
will have at the end of the day; it’s all there
Reports that used to take weeks to develop, now are available
in hours,” says Ahmed. “The change is tremendous;
we have almost anything we want. When we want to doa new pricing offer, we can pull down specific information
about customers. We can understand why an offer did
better in area A than area B. The amount of analysis is
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extremely sophisticated.”